{"id":"W1539683852","doi":"10.1002/wcc.122","title":"Parameterizations: representing key processes in climate models without resolving them","year":2011,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Closure (psychology); Climate model; Scale (ratio); Set (abstract data type); Stochastic modelling; Key (lock); Climate change; Statistical physics; Econometrics; Computer science; Mathematics; Geography; Statistics; Geology; Economics; Physics; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002477288,0.001152369,0.0008296829,0.0009321577,0.0005310086,0.003024039,0.001449731,0.001302671,0.002517326],"category_scores_gemma":[0.007085504,0.0008526743,0.001052465,0.001505037,0.002128915,0.005599356,0.002030805,0.002364318,0.0005916271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009534018,"about_ca_system_score_gemma":0.001217282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337899,"about_ca_topic_score_gemma":0.001962373,"domain_scores_codex":[0.998938,0.0005773934,0.00008625882,0.0001459896,0.0002024826,0.00004990768],"domain_scores_gemma":[0.9981291,0.0009999473,0.0002315288,0.0004690553,0.000121177,0.00004931893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000247894,0.00001986686,0.0005737522,0.00006465583,0.00003855477,0.00002975415,0.0001010384,0.7352084,0.001193916,0.2453477,0.0005953563,0.01680222],"study_design_scores_gemma":[0.000007058778,0.00001081004,0.0001279334,0.00002514511,0.00002088338,0.00001527313,0.00002682001,0.781477,0.0004938617,0.2130415,0.004734629,0.00001915975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01694732,0.0006769768,0.9763861,0.0006823693,0.00008270122,0.00004990469,0.0001922344,0.000396766,0.004585539],"genre_scores_gemma":[0.565778,0.00244784,0.4266688,0.0003128401,0.0002525291,0.000570084,0.0005192763,0.0005907794,0.00286004],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003024039,"threshold_uncertainty_score":0.01310128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103598910523448,"score_gpt":0.3291765653431891,"score_spread":0.1188166742908443,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}