{"id":"W4309627391","doi":"10.1029/2022gl099396","title":"Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave","year":2022,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; Environmental Resilience Institute, Indiana University; Office of Science; U.S. Department of Energy","keywords":"Hindcast; Climatology; Climate change; Environmental science; Global warming; Climate model; Causal inference; Oceanography; Geology; Econometrics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006877119,0.0003636159,0.0001776094,0.000272816,0.0006054317,0.001002417,0.000387061,0.0004894685,0.002267975],"category_scores_gemma":[0.001604169,0.0001682408,0.0004792749,0.000686808,0.0004095386,0.000532104,0.0006405227,0.0007718737,0.0001563742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662391,"about_ca_system_score_gemma":0.001327453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1306438,"about_ca_topic_score_gemma":0.1010266,"domain_scores_codex":[0.9998389,0.00003974028,0.000006645816,0.00003661046,0.00004249116,0.00003555999],"domain_scores_gemma":[0.9995412,0.0001164019,0.00008161362,0.00005814091,0.0001271327,0.00007561722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002268146,0.0001130736,0.5674946,0.0001527601,0.0003939339,0.0003561225,0.0002857963,0.3831558,0.003454007,0.00653523,0.008368928,0.02946293],"study_design_scores_gemma":[0.00005391524,0.00007500432,0.5800956,0.00008667261,0.000140136,0.0001198771,0.0008497511,0.3949348,0.00262891,0.006728225,0.01422863,0.00005842094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864325,0.0003131397,0.00200176,0.001517654,0.00009221361,0.00001221629,0.002941876,0.0001527523,0.00653586],"genre_scores_gemma":[0.9982863,0.0001799063,0.0002490642,0.00005235568,0.00002610441,0.000007100853,0.0009163589,0.0000147523,0.0002681665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306438,"threshold_uncertainty_score":0.2597667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975301653096984,"score_gpt":0.324380217991281,"score_spread":0.2946272014603111,"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."}}