{"id":"W4295886441","doi":"10.1175/2022bamsstateoftheclimate_chapter7.1","title":"Regional Climates","year":2022,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Environmental and Ecological Studies","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Biological and Environmental Research; Office of Science; National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche; U.S. Department of Energy","keywords":"Geography; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402651,0.0008540587,0.0006893724,0.003091956,0.0008818931,0.002746296,0.001020883,0.0005576156,0.07756819],"category_scores_gemma":[0.003947889,0.0002873846,0.0006562915,0.007562635,0.0003807443,0.001924589,0.001675572,0.001873653,0.04822057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120189,"about_ca_system_score_gemma":0.003815817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04969104,"about_ca_topic_score_gemma":0.02736065,"domain_scores_codex":[0.9988713,0.0001533301,0.00008177684,0.000243798,0.000481713,0.0001681657],"domain_scores_gemma":[0.9983209,0.0001284429,0.0001685598,0.0002192615,0.001001123,0.0001617854],"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":[0.000058422,0.00001516721,0.003003587,0.0005743451,0.00003758557,0.00004357741,0.0003618377,0.0005880387,0.0003374485,0.02573086,0.9000435,0.06920565],"study_design_scores_gemma":[0.000004447549,0.000004676932,0.004271246,0.00006761427,0.000004233686,0.00001937115,0.00006776683,0.00005316974,0.00003737667,0.0009405832,0.9945228,0.000006731474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003812457,0.01702764,0.00480213,0.00501763,0.005140319,0.0002717304,0.4935069,0.004089049,0.4663321],"genre_scores_gemma":[0.08122495,0.027794,0.01665683,0.003307997,0.002392826,0.00114581,0.6504076,0.003870402,0.2131996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07756819,"threshold_uncertainty_score":0.2594914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784207320062143,"score_gpt":0.2156343037671349,"score_spread":0.1977922305665135,"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."}}