{"id":"W4294959287","doi":"10.3390/atmos13091419","title":"Major Contribution of Halogenated Greenhouse Gases to Global Surface Temperature Change","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Environmental science; Atmospheric sciences; Stratosphere; Global warming; Greenhouse gas; Troposphere; Sea surface temperature; Volcano; Climate change; Anomaly (physics); Climate model; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002188108,0.0001062121,0.0001478529,7.652267e-7,0.0001840206,0.00000989858,0.0002063082,0.00005022213,0.006010282],"category_scores_gemma":[0.00003530764,0.0001037848,0.00005278728,0.0004064321,0.00005217961,0.0001004318,0.0003918259,0.00009116349,0.0001076046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139982,"about_ca_system_score_gemma":0.0000111158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223597,"about_ca_topic_score_gemma":0.001475962,"domain_scores_codex":[0.9989701,0.00009112265,0.0001608246,0.0002674627,0.0002732775,0.0002372094],"domain_scores_gemma":[0.9995579,0.00002661452,0.00005376062,0.0002553854,0.00001435002,0.0000919738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004326489,0.0008441479,0.7064964,0.00003350078,0.00005550746,0.00005076325,0.001343367,0.1675563,0.09948863,0.002006789,0.0199146,0.001777377],"study_design_scores_gemma":[0.005641135,0.002623872,0.8040506,0.00008449899,0.0002430512,0.0001541435,0.002367307,0.02672128,0.02791047,0.00542869,0.1227311,0.002043801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973454,0.0001001643,0.00003637244,0.0008691419,0.0001209187,0.0004353032,0.0003577048,0.00005456097,0.000680444],"genre_scores_gemma":[0.9985014,0.00000663061,0.0005327251,0.0006476018,0.00001483799,0.00004031722,0.00004606578,0.000008277963,0.0002021301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140835,"threshold_uncertainty_score":0.9948984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473854902449238,"score_gpt":0.2347167058884299,"score_spread":0.2199781568639375,"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."}}