{"id":"W2801722675","doi":"","title":"Analysis of missed winter high-impact snowfall events in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"15th Conference on Mesoscale Processes (August 6 - 9, 2013)","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Geography; Climatology; Environmental science; 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":[0.0004075315,0.0003008598,0.0003929223,0.001350766,0.002005584,0.00116331,0.001073084,0.0004348163,0.002418776],"category_scores_gemma":[0.001697596,0.0002962733,0.0003529058,0.002850744,0.0003854232,0.0003613017,0.0006803144,0.000354593,0.0002862353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01797903,"about_ca_system_score_gemma":0.02226886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994928,"about_ca_topic_score_gemma":0.9984258,"domain_scores_codex":[0.9995516,0.00002084948,0.00002545879,0.00006301717,0.0001779007,0.0001610829],"domain_scores_gemma":[0.998632,0.0001197204,0.0001285111,0.0000383844,0.0008532197,0.0002280308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002785384,0.000064985,0.9607286,0.000100723,0.0001345111,0.0005795371,0.001495429,0.007857062,0.0009534743,0.0006672072,0.007961666,0.01917821],"study_design_scores_gemma":[0.00001223366,0.00001472487,0.9839308,0.00002837952,0.00002408256,0.00004728538,0.002241703,0.009773524,0.000157785,0.00006826052,0.003686861,0.00001436891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861782,0.0003228922,0.0004135462,0.0003240694,0.00001779053,0.00004061944,0.009142941,0.00003782467,0.003522277],"genre_scores_gemma":[0.98915,0.0002320196,0.0004501189,0.00003882857,0.00000739245,0.00001850147,0.006244144,0.00001494179,0.003843917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797903,"threshold_uncertainty_score":0.1304476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203180405161457,"score_gpt":0.2220549164282339,"score_spread":0.2100231123766194,"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."}}