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Cited by (8)

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1. Machine learning and the quest for objectivity in climate model parameterization. Climatic Change. 2023 Jebeile, Julie, Lam, Vincent, Majszak, Mason M., Räz, Tim

   Calibration/tuning, Expert judgement, Machine Learning, Values

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2. Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019 Carrier, Martin, Lenhard, Johannes

   Confirmation & evaluation, Confirmational holism, Robustness

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3. Building confidence in climate model projections: an analysis of inferences from fit. WIREs Climate Change. 2017 Baumberger, Christoph, Knutti, Reto, Hirsch Hadorn, Gertrude

   Confirmation & evaluation, Robustness

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4. Introduction to Assessing climate models: knowledge, values and policy. European Journal for Philosophy of Science. 2015 Katzav, Joel, Parker, Wendy S.

   Confirmation & evaluation, Values

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5. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

   Calibration/tuning, Confirmation & evaluation, Confirmational holism

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6. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

   Calibration/tuning, Confirmation & evaluation

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7. The epistemology of climate models and some of its implications for climate science and the philosophy of science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2014 Katzav, Joel

   Confirmation & evaluation, Probability & possibility, Reliability & uncertainty

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8. Assessing climate model projections: State of the art and philosophical reflections. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2012 Katzav, Joel, Dijkstra, Henk A., (Jos) de Laat, A.T.J.

   Confirmation & evaluation, Reliability & uncertainty

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