{"id":"W1572912763","doi":"","title":"Fatal Avalanche Accidents and Forecasted Danger Levels: Patterns in the United States, Canada, Switzerland and France","year":2006,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowpack; Poison control; Meteorology; Snow; Geography; Environmental health; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007051465,0.0002216295,0.0002119324,0.0001269678,0.0006153001,0.0003659548,0.0002564038,0.00007642918,0.00005267814],"category_scores_gemma":[0.00002746028,0.0001514309,0.00002545909,0.0003092379,0.0002415984,0.0003894498,0.0002955601,0.0002667768,0.000002820006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006947146,"about_ca_system_score_gemma":0.00003939402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5880561,"about_ca_topic_score_gemma":0.89849,"domain_scores_codex":[0.9980589,0.00009732791,0.0002504555,0.0004337685,0.0005458672,0.0006137351],"domain_scores_gemma":[0.9994643,0.0001275089,0.00005777046,0.0002078378,0.00002422484,0.000118322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001044654,0.0001007963,0.9321833,0.000115977,0.00002911811,0.000101195,0.000459274,0.001189111,0.00002770512,0.0008784059,0.05797036,0.006840264],"study_design_scores_gemma":[0.001983057,0.0001737235,0.8569288,0.00007127209,0.0000156701,0.00002293119,0.0008169821,0.01648855,0.00002414395,0.00151071,0.1216775,0.0002866747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955254,0.0004551162,0.000374431,0.001448068,0.0000732237,0.000861511,0.0001624625,0.0000156484,0.001084119],"genre_scores_gemma":[0.997414,0.0004011774,0.0001208709,0.0002494456,0.00007602021,0.00009217687,0.0006678668,0.00001950117,0.0009589304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3104338,"threshold_uncertainty_score":0.6175172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999413384714204,"score_gpt":0.2861211151366521,"score_spread":0.25612698128951,"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."}}