{"id":"W4389832722","doi":"10.1002/9781119700357.ch6","title":"Extratropical Cloud Feedbacks","year":2023,"lang":"en","type":"other","venue":"Geophysical monograph","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Pacific Northwest National Laboratory; Lawrence Livermore National Laboratory; Nuclear Safety and Security Commission; Battelle; University of Wyoming; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Extratropical cyclone; Cloud feedback; Environmental science; Context (archaeology); Shortwave; Climatology; Longwave; Climate model; Positive feedback; Global warming; Cloud computing; Climate change; Cloud cover; Cloud forcing; Cloud height; Atmospheric sciences; Climate sensitivity; Geography; Computer science; Geology; Radiative transfer; Physics; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000360388,0.0003683875,0.0003801049,0.000004543266,0.0000751521,0.00003219643,0.0004121447,0.0003493563,0.01345462],"category_scores_gemma":[0.000008495531,0.0003165599,0.0003212015,0.0005497959,0.0004224194,0.00003682676,0.0002886181,0.0003581604,0.0196296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408796,"about_ca_system_score_gemma":0.000006538025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246157,"about_ca_topic_score_gemma":0.0005241738,"domain_scores_codex":[0.9981924,0.00003437987,0.000194073,0.0006185446,0.0004280341,0.0005326227],"domain_scores_gemma":[0.9991093,0.00003331889,0.0001096839,0.0005218094,0.000002166186,0.0002237811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006614115,0.00009905575,0.007499962,0.000007623701,0.00004398996,0.00002541965,0.00002580641,0.000007355792,0.00004033869,0.0004764164,0.9782019,0.0135655],"study_design_scores_gemma":[0.0002249315,0.0001071428,0.05184286,0.00004085375,0.00004823492,0.000001489479,0.00002432948,0.00006207897,0.000007234962,0.001486683,0.9456043,0.0005498559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01092565,0.0001276218,0.0005884313,0.0001778398,0.001292157,0.0003737386,0.0000305274,0.001786502,0.9846975],"genre_scores_gemma":[0.0243986,0.0002380404,0.001613859,0.0003208248,0.002022785,0.00009515,0.00001703583,0.001474887,0.9698188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04434289,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005771560258282253,"score_gpt":0.2076957105349802,"score_spread":0.201924150276698,"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."}}