{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180501,0.0003507727,0.0002602038,0.0004027385,0.0002128429,0.0008583079,0.0004513536,0.0002803657,0.001411193],"category_scores_gemma":[0.003053466,0.0002166994,0.0003731544,0.000618878,0.0002213123,0.0004871271,0.0003394074,0.00032079,0.0002663019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178676,"about_ca_system_score_gemma":0.001446896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05039936,"about_ca_topic_score_gemma":0.05536141,"domain_scores_codex":[0.9993862,0.0002666504,0.00003148324,0.0001426045,0.0001093374,0.00006367429],"domain_scores_gemma":[0.9988501,0.0004023513,0.0002326044,0.0001324221,0.0003183491,0.00006421675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001719034,0.00005081615,0.4690079,0.00006465705,0.0001388337,0.0001705173,0.0001947674,0.4940184,0.005165089,0.006235945,0.001952654,0.02282855],"study_design_scores_gemma":[0.00002187471,0.00004519402,0.2613979,0.0000246127,0.00003003355,0.00003967841,0.0001786491,0.7314115,0.001599332,0.003273995,0.001952856,0.00002429498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588808,0.0001858085,0.03263835,0.0002508429,0.00001713914,0.00001815073,0.003111617,0.0002660267,0.004631148],"genre_scores_gemma":[0.9968252,0.00002634039,0.001137669,0.000009333851,0.000003765413,0.000007530111,0.001561148,0.00001180592,0.0004171832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05039936,"threshold_uncertainty_score":0.100212,"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."}}