{"id":"W155311336","doi":"","title":"Understanding Extreme Precipitation Behaviour in British Columbia's Lower Mainland Using Historical and Proxy Records","year":2013,"lang":"en","type":"article","venue":"PhDT","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Mainland; Climatology; Geology; Precipitation; Historical record; History; Geography; Physical geography; Meteorology; Archaeology; Mathematics; Art history; Statistics; Memoir","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":[0.0002379942,0.000154992,0.0001517962,0.000728014,0.0006801922,0.001204997,0.00048941,0.0003161939,0.001189122],"category_scores_gemma":[0.001314339,0.0001629979,0.0001148065,0.001722805,0.0002858955,0.0003804028,0.000369535,0.0003438362,0.000167651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571843,"about_ca_system_score_gemma":0.002771081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9478306,"about_ca_topic_score_gemma":0.9814478,"domain_scores_codex":[0.9998916,0.00001724871,0.000008395975,0.00003232635,0.00001793358,0.00003252174],"domain_scores_gemma":[0.9995932,0.00008408672,0.00006259351,0.00003688727,0.0001508058,0.00007243283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006318543,0.00004377951,0.9634961,0.00003133444,0.00009314063,0.0001299324,0.0007317173,0.009835235,0.001730769,0.0003415856,0.002216419,0.02128674],"study_design_scores_gemma":[0.000003239419,0.000002068364,0.9903548,0.00001123245,0.00001175166,0.00001065126,0.0005035663,0.007893589,0.0000990483,0.00006745142,0.001036232,0.000006511702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971613,0.0001312657,0.0001901614,0.0001327319,0.000002461035,0.000003663853,0.001042749,0.00001490488,0.001320767],"genre_scores_gemma":[0.9982194,0.00009551572,0.0002011998,0.00001873675,0.000002052511,0.000003929856,0.0009710699,0.000005472855,0.0004826801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05216938,"threshold_uncertainty_score":0.1049532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08709145648032787,"score_gpt":0.2426488273376345,"score_spread":0.1555573708573066,"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."}}