{"id":"W2042170504","doi":"10.1080/07055900.2012.657154","title":"Intraseasonal Canadian Winter Temperature Responses to Interannual and Interdecadal Pacific SST Modulations","year":2012,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration","keywords":"Climatology; Pacific decadal oscillation; El Niño Southern Oscillation; Environmental science; Spectral analysis; Oscillation (cell signaling); Sea surface temperature; Period (music); Atmospheric sciences; Geology; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003160622,0.000189567,0.0001528523,0.000009209973,0.0002152524,0.00008830269,0.000186019,0.0001136104,0.003754934],"category_scores_gemma":[0.000102504,0.0001729337,0.00005031592,0.0001919533,0.0001561105,0.0004348861,0.0001873216,0.0002040773,0.0003101226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272524,"about_ca_system_score_gemma":0.00003217211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009697868,"about_ca_topic_score_gemma":0.02782916,"domain_scores_codex":[0.9986556,0.00008832195,0.000204157,0.0003373325,0.0001814056,0.0005332351],"domain_scores_gemma":[0.9988142,0.00009308998,0.00002705227,0.0002898132,0.00001446085,0.0007613294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001352546,0.0001216712,0.9440656,0.000008804224,0.00002738279,0.000007542146,0.008140127,0.0007258654,0.001388434,0.0005724426,0.04246189,0.002344994],"study_design_scores_gemma":[0.0005419647,0.0002068384,0.8341737,0.00006879728,0.00004324299,0.00008493351,0.003117031,0.0030882,0.0003389773,0.0005715968,0.1569987,0.0007659549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991241,0.00003339528,0.00006914423,0.002211491,0.0002406906,0.000233595,0.0001218784,0.00004049938,0.005808339],"genre_scores_gemma":[0.9954804,0.000004280863,0.001324473,0.001065843,0.0001113318,0.000005534888,0.00002188317,0.00002213435,0.001964154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145368,"threshold_uncertainty_score":0.9971558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009675017956552115,"score_gpt":0.2295975436076209,"score_spread":0.2199225256510687,"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."}}