{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137734,0.0001997004,0.0001376166,0.001176364,0.000147015,0.0005282334,0.0001816128,0.0001992232,0.0009976403],"category_scores_gemma":[0.005325813,0.0001127215,0.0003324299,0.001408708,0.000173053,0.0003885459,0.0003374154,0.000307903,0.0001730106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002976112,"about_ca_system_score_gemma":0.0001957583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000482,"about_ca_topic_score_gemma":0.01679549,"domain_scores_codex":[0.9997525,0.00008099283,0.00001927601,0.00007773496,0.00004764189,0.00002179805],"domain_scores_gemma":[0.99727,0.001122563,0.0008353765,0.0002222416,0.0004137473,0.0001360026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005114494,0.00002229802,0.9777402,0.00001129374,0.0001271517,0.00002704606,0.0001084577,0.0122898,0.0006458376,0.000178664,0.0003393084,0.008458783],"study_design_scores_gemma":[0.000002711942,0.00001872506,0.9515358,0.000005614855,0.00001866227,0.00002276041,0.0001122614,0.04748615,0.0002956782,0.0001786917,0.0003142382,0.00000878257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950253,0.00004331193,0.002590522,0.00004553585,0.000008953868,0.000005499803,0.001480344,0.00005922321,0.0007411947],"genre_scores_gemma":[0.9977647,0.00002322616,0.0009802709,0.000004743161,0.000004885616,0.000004785767,0.001094341,0.000006491565,0.0001165771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02000482,"threshold_uncertainty_score":0.03977674,"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."}}