{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002182185,0.00004766042,0.00008818164,0.00001318322,0.0000868995,0.0001336262,0.00004773872,0.000054716,0.001725159],"category_scores_gemma":[0.00003594149,0.00007386009,0.0000157813,0.00008981586,0.00005055878,0.000317397,0.00006454855,0.00007551308,0.00002008817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245293,"about_ca_system_score_gemma":0.000006122618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1000446,"about_ca_topic_score_gemma":0.06914363,"domain_scores_codex":[0.9992876,0.0000396033,0.0001476757,0.0002285604,0.0001216764,0.0001748736],"domain_scores_gemma":[0.9997767,0.00003866133,0.00003335364,0.00008531525,0.000003903664,0.000062062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002366785,0.00008135532,0.9966401,0.000007057851,9.670496e-7,0.000004108611,0.0002476047,0.0001334221,0.0008114725,0.000005076201,0.001022245,0.001044177],"study_design_scores_gemma":[0.0005093057,0.00006144401,0.943711,0.00005316374,0.00001309449,0.00002218763,0.0002334847,0.04156549,0.00000449496,0.01312721,0.0004638051,0.0002353328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963244,0.00001297081,0.001715824,0.00009720129,0.0001332829,0.0002902097,0.000002565643,0.00001509067,0.001408457],"genre_scores_gemma":[0.9973691,0.00001344698,0.001718303,0.00003211185,0.00001529387,0.00001980859,0.000002160649,0.000007904805,0.0008219367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05292916,"threshold_uncertainty_score":0.9991874,"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."}}