{"id":"W3022681600","doi":"","title":"Extreme Precipitation Events in the Canadian Prairies","year":2013,"lang":"en","type":"article","venue":"AGUSM","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Climatology; Environmental science; Geography; Physical geography; Meteorology; 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":[0.0003237959,0.0001813517,0.0002438126,0.001285323,0.002166203,0.0009866984,0.0007194325,0.0004834337,0.001332948],"category_scores_gemma":[0.001076396,0.000230345,0.0002245048,0.002873572,0.0008524684,0.0004382717,0.0009057891,0.0005189261,0.0001117194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009577064,"about_ca_system_score_gemma":0.009105226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848323,"about_ca_topic_score_gemma":0.9963871,"domain_scores_codex":[0.999736,0.0000199656,0.00001232109,0.00004350337,0.00008027941,0.0001079275],"domain_scores_gemma":[0.9992775,0.00006123099,0.0001594205,0.00002919823,0.0002937317,0.000178912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001193352,0.00004707813,0.9860875,0.00003046267,0.00006511209,0.0002605984,0.001918202,0.0006082868,0.0008175162,0.0002599297,0.00134995,0.008436021],"study_design_scores_gemma":[0.000002079821,0.000002947093,0.9986795,0.000003124361,0.000003209962,0.0000175118,0.0006011726,0.000150592,0.00001691562,0.00001133676,0.0005081266,0.000003423222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972446,0.0001450224,0.0000363755,0.0001765989,0.000004599059,0.000009340744,0.0008362902,0.000005019529,0.001542171],"genre_scores_gemma":[0.9982865,0.0001773322,0.00008200817,0.00003813388,0.000005439701,0.000005952107,0.0005976831,0.000002359281,0.0008046434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516765,"threshold_uncertainty_score":0.0694868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324100383019762,"score_gpt":0.2100046109407575,"score_spread":0.1967636071105598,"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."}}