{"id":"W2025124163","doi":"10.1029/2001gl014011","title":"Ocean‐Atmosphere Feedback: Using the non‐stationarity in the climate system","year":2002,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Atmosphere (unit); Environmental science; Climate system; Climate model; Climatology; Atmospheric model; Bridging (networking); Climate change; Ecosystem; Cloud feedback; Meteorology; Atmospheric sciences; Climate sensitivity; Computer science; Geology; Oceanography; Geography; Ecology","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":[0.002481355,0.0003860169,0.0005421349,0.0006742364,0.0006066082,0.001464409,0.0005334101,0.0005377926,0.0006108924],"category_scores_gemma":[0.01113462,0.0002810032,0.0004297815,0.0007919846,0.001488616,0.00338124,0.001598533,0.001283537,0.0001030764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007919223,"about_ca_system_score_gemma":0.0009380704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007203384,"about_ca_topic_score_gemma":0.005305329,"domain_scores_codex":[0.9994074,0.0003347322,0.00002954769,0.00007398333,0.0001128747,0.00004146295],"domain_scores_gemma":[0.995138,0.003680409,0.0005164029,0.0004023549,0.0001599944,0.0001028397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003818213,0.00009854009,0.07103825,0.0002760403,0.0004154338,0.0005593932,0.001229286,0.5083854,0.01097128,0.2499466,0.001849329,0.1548486],"study_design_scores_gemma":[0.00002803815,0.00007649144,0.02058439,0.00003384661,0.00008181873,0.0001218137,0.0001491088,0.7045849,0.002089985,0.2700445,0.00213363,0.00007151877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6635292,0.003037077,0.3179152,0.004252458,0.000270152,0.00004186014,0.000293247,0.0004076019,0.01025323],"genre_scores_gemma":[0.9810646,0.0008075166,0.01744974,0.000109215,0.0001044883,0.00001765199,0.00004408344,0.00004327031,0.0003596118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007203384,"threshold_uncertainty_score":0.01432288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06358269548342739,"score_gpt":0.308477578474616,"score_spread":0.2448948829911886,"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."}}