{"id":"W2803538641","doi":"10.7939/r3v698h80","title":"Analyzing and Characterizing Hydroclimatic Extremes over Canada","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Meteorology; 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":[0.000206244,0.0002174486,0.0001730327,0.001349951,0.001552699,0.0009907651,0.0003966922,0.000157758,0.0006568885],"category_scores_gemma":[0.0007779585,0.00009213611,0.0001991744,0.002888354,0.0003104722,0.0001798942,0.000332872,0.0002276071,0.00007981376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020908,"about_ca_system_score_gemma":0.008934065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859228,"about_ca_topic_score_gemma":0.9949399,"domain_scores_codex":[0.9998206,0.000006949196,0.000005068726,0.0000341479,0.00007458851,0.00005858848],"domain_scores_gemma":[0.9996057,0.00005685416,0.00003347512,0.00001246013,0.0002457089,0.00004583901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000178139,0.00006308991,0.8197219,0.00011703,0.0001352021,0.0003172295,0.002208378,0.0635852,0.009861289,0.002484115,0.005942778,0.0953858],"study_design_scores_gemma":[0.000004534818,0.000009923485,0.95569,0.00001707564,0.00001971023,0.00003142455,0.001111632,0.03727885,0.001021513,0.0002965682,0.00449342,0.00002549745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873412,0.0003154644,0.002258424,0.00009304668,0.000004101221,0.00003667604,0.005366263,0.00009835292,0.00448642],"genre_scores_gemma":[0.9929397,0.000299041,0.002131651,0.00002015625,0.00000273183,0.00001383696,0.003478244,0.00001330497,0.001101235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407719,"threshold_uncertainty_score":0.07407242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005906784443727,"score_gpt":0.1544202769858867,"score_spread":0.1443612091414495,"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."}}