{"id":"W2565231333","doi":"10.1002/2016ms000697","title":"Understanding the <scp>W</scp>est <scp>A</scp>frican <scp>M</scp>onsoon from the analysis of diabatic heating distributions as simulated by climate models","year":2016,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"European Commission","keywords":"Diabatic; Climatology; Rainband; Environmental science; Climate model; Convection; Radiative transfer; Atmospheric sciences; Flow (mathematics); Condensation; Meteorology; Climate change; Geology; Mechanics; Physics; Thermodynamics","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":[0.0002572109,0.0001784335,0.0001285967,0.0003097095,0.0001886582,0.0006895724,0.0001924604,0.0002257876,0.001002111],"category_scores_gemma":[0.0006172606,0.0001137974,0.0002743048,0.0003037085,0.0001914521,0.0005536542,0.0002344997,0.0002551487,0.0001129497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919054,"about_ca_system_score_gemma":0.0005324818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02173662,"about_ca_topic_score_gemma":0.03434977,"domain_scores_codex":[0.9999597,0.00001226043,0.000001913996,0.000007671559,0.000008096996,0.00001033168],"domain_scores_gemma":[0.9998456,0.00007730393,0.00002027554,0.0000202977,0.00001889723,0.00001753396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002903016,0.0001351309,0.5808664,0.0003313422,0.0003623697,0.0006830096,0.0006959084,0.2586368,0.05789347,0.004527559,0.003245182,0.09233249],"study_design_scores_gemma":[0.00001675351,0.0000553465,0.646946,0.00007641576,0.00008046059,0.0001155717,0.0008708771,0.3378986,0.006936173,0.003365223,0.003616679,0.00002193208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926117,0.0002821615,0.003224911,0.0003990699,0.000008019541,0.000007313375,0.0004559175,0.00003087559,0.002979953],"genre_scores_gemma":[0.9980894,0.0002201288,0.001182607,0.00002481987,0.000007787308,0.000006841907,0.0002050846,0.00001403594,0.0002494185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02173662,"threshold_uncertainty_score":0.04322022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161938494422582,"score_gpt":0.2691406702981238,"score_spread":0.227521285353898,"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."}}