{"id":"W3166730726","doi":"","title":"Extreme Value Analysis of Ground Snow Load in Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Value (mathematics); Environmental science; Geography; Meteorology; Mathematics; Statistics","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":[0.0003082543,0.0001933779,0.000257706,0.001055088,0.001167486,0.0007982396,0.000577235,0.0002388856,0.001021624],"category_scores_gemma":[0.001095947,0.000145093,0.0002835307,0.001862107,0.0003800903,0.0002137514,0.0002733873,0.000325932,0.00008271047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066882,"about_ca_system_score_gemma":0.007723382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827921,"about_ca_topic_score_gemma":0.9881667,"domain_scores_codex":[0.9997928,0.00001856672,0.000007292332,0.00002829578,0.0000788355,0.00007437115],"domain_scores_gemma":[0.9994645,0.00008818559,0.00003354245,0.00001750447,0.0002900758,0.000106202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004978611,0.0001430891,0.7941151,0.00004404674,0.0001971756,0.0006082371,0.0005745135,0.1544936,0.003644329,0.004024452,0.004035182,0.03762232],"study_design_scores_gemma":[0.00001601746,0.00001944031,0.8666016,0.000008166133,0.00002439774,0.0000510196,0.000683228,0.1297415,0.000520377,0.0006797146,0.00162605,0.00002857819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971067,0.00006127964,0.0004853308,0.00007024706,0.000003187283,0.0000060475,0.0008602242,0.00002250586,0.001384415],"genre_scores_gemma":[0.99823,0.00003719643,0.0003261466,0.000009393358,0.000001651104,0.000002177404,0.0007587146,0.000005804701,0.0006288121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01720792,"threshold_uncertainty_score":0.07740802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137120950232417,"score_gpt":0.2102484150286519,"score_spread":0.1988772055263277,"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."}}