{"id":"W3214413334","doi":"","title":"A case study of heavy rainfall in western Canada on 1-2 July 2020 and the key role of impact-based thresholds in weather warnings","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Climatology; Meteorology; Environmental science; Geography; Computer science; Computer security; 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":[0.0004508714,0.0003775249,0.0003313829,0.0006022737,0.002322164,0.001539686,0.001156648,0.001328151,0.002382957],"category_scores_gemma":[0.001533898,0.0001972589,0.0003543279,0.0019817,0.0010581,0.0004432502,0.0007214762,0.0009726342,0.0001592316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01577987,"about_ca_system_score_gemma":0.01725799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887312,"about_ca_topic_score_gemma":0.9932493,"domain_scores_codex":[0.9995865,0.00005365617,0.00001387936,0.00003595146,0.000108297,0.0002017397],"domain_scores_gemma":[0.9991779,0.0002232244,0.00006172361,0.00003119261,0.0002829509,0.0002230346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001394042,0.001017657,0.4572728,0.0004629182,0.0003698401,0.02938845,0.006303261,0.390399,0.006397191,0.0213524,0.04120895,0.04443341],"study_design_scores_gemma":[0.0003573255,0.0003079342,0.5716941,0.0002006451,0.0002687134,0.001597657,0.07681574,0.3068897,0.003131645,0.005083784,0.03341641,0.0002364313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808475,0.0001828864,0.0008025504,0.001677057,0.00003379257,0.00009326005,0.002395121,0.00006904065,0.01389873],"genre_scores_gemma":[0.9938148,0.0001373188,0.0008466268,0.0001071456,0.000006101552,0.00001356066,0.0005699727,0.00001124516,0.004493218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01577987,"threshold_uncertainty_score":0.1144915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220460956498829,"score_gpt":0.2314513038378106,"score_spread":0.2094052081879277,"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."}}