{"id":"W4388661600","doi":"10.1088/1748-9326/ad0c88","title":"Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature","year":2023,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Ecosystem; Sea surface temperature; Climate change; Environmental science; Marine ecosystem; Climatology; Oceanography; Global warming; Geography; Geology; Ecology","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":[0.001663013,0.0001755357,0.0001545287,0.00006303702,0.0007769907,0.00004795838,0.0004203906,0.00008637367,0.0007341703],"category_scores_gemma":[0.00004592388,0.0001359936,0.00008143686,0.0005999666,0.001339297,0.0003948974,0.000443313,0.0005069419,0.003277242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009566843,"about_ca_system_score_gemma":0.000007924395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000177694,"about_ca_topic_score_gemma":0.00004981023,"domain_scores_codex":[0.996938,0.0004512308,0.0002684248,0.000476892,0.001171083,0.0006943184],"domain_scores_gemma":[0.9990477,0.0002114236,0.0000665169,0.0005616208,0.000004516492,0.0001082042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006419387,0.0001065461,0.1971658,0.00001532158,0.00000754152,0.000008104672,0.0004547358,0.0318781,0.7674423,0.00006847239,0.002692805,0.00009607273],"study_design_scores_gemma":[0.0002492923,0.0002634579,0.9793406,0.00002644845,0.000006918388,0.000003362266,0.0005570269,0.0009817003,0.01704882,0.0001699248,0.00115623,0.0001962472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957362,0.00000919642,0.000002614486,0.003008989,0.00003095997,0.0005439733,0.0002641038,0.00005387393,0.0003500526],"genre_scores_gemma":[0.9990203,0.00007916296,0.00001964406,0.0001045768,0.00002436476,0.00003285662,0.0001815246,0.00002026104,0.0005172733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7821748,"threshold_uncertainty_score":0.9974988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297157118532177,"score_gpt":0.2748438877951604,"score_spread":0.2518723166098387,"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."}}