{"id":"W2004070933","doi":"10.1175/jcli3704.1","title":"Specification of Wintertime North American Surface Temperature","year":2006,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Hindcast; Climatology; Geopotential height; Context (archaeology); Forecast skill; Principal component analysis; Sea surface temperature; Linear discriminant analysis; Canonical correlation; Specification; Environmental science; Econometrics; Statistics; Mathematics; Meteorology; Precipitation; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468355,0.00007435659,0.0001926942,0.00002737822,0.00003365861,0.00001370118,0.0001528382,0.00002416291,0.0002820477],"category_scores_gemma":[0.0000167974,0.00005846561,0.00008726941,0.0002108576,0.0001476974,0.0001801925,0.000043753,0.0001255616,0.00003736321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007321074,"about_ca_system_score_gemma":0.000006538685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196949,"about_ca_topic_score_gemma":0.0002088376,"domain_scores_codex":[0.9989738,0.00003465794,0.0004820027,0.00009020155,0.0002618205,0.0001574779],"domain_scores_gemma":[0.9992164,0.00005189764,0.0005109745,0.0001398211,0.00003148369,0.0000494062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000202215,0.0003401012,0.7412173,0.00001964264,0.00001291609,0.0000111208,0.0002448162,0.03576738,0.2191083,0.0001866522,0.001360879,0.001528711],"study_design_scores_gemma":[0.0002556083,0.0001697445,0.9840254,0.00001958055,0.000023093,0.00003016335,0.00007943,0.0004915056,0.01175891,0.0002014558,0.002845961,0.00009921284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951131,0.00001565358,0.0001224008,0.0002710708,0.00007368325,0.00004668206,0.00001204495,0.000005305385,0.004340009],"genre_scores_gemma":[0.9973798,0.000128045,0.002325914,0.0000463262,0.0000538204,1.364545e-7,0.000003007441,0.000006810196,0.00005613399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428081,"threshold_uncertainty_score":0.3088225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809842716523764,"score_gpt":0.2284107119868789,"score_spread":0.2196008692703551,"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."}}