{"id":"W205654371","doi":"","title":"Simple calculations of avalanche risk for backcountry skiing","year":2009,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mountaineering; Climbing; Range (aeronautics); Poison control; Event (particle physics); Environmental science; Physical geography; Geography; Meteorology; Engineering; Physics; Archaeology; Medical emergency","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":[0.001763914,0.000739978,0.0005063916,0.00235015,0.0003431225,0.001080268,0.00102927,0.0007390498,0.009568804],"category_scores_gemma":[0.01095998,0.0002962021,0.001281197,0.001230195,0.0002579016,0.001135954,0.001044199,0.0006383124,0.001797124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254148,"about_ca_system_score_gemma":0.0004443004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005032884,"about_ca_topic_score_gemma":0.004893749,"domain_scores_codex":[0.9990005,0.0002501461,0.0001589692,0.0001569048,0.0003489665,0.00008459708],"domain_scores_gemma":[0.9939157,0.00371264,0.0009651471,0.0004480965,0.0008057932,0.0001525149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003554967,0.0002206805,0.1445479,0.0005708563,0.0005621884,0.0005839695,0.0003971454,0.7448371,0.002649777,0.01310213,0.002370273,0.08980245],"study_design_scores_gemma":[0.00004334287,0.0004121739,0.08780719,0.0001844981,0.0001642039,0.001418781,0.000232741,0.8790894,0.002835748,0.02233118,0.0053759,0.0001048527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.456865,0.001208723,0.5195473,0.000198118,0.00007912009,0.000749681,0.003708843,0.001059477,0.0165838],"genre_scores_gemma":[0.9136526,0.0003692597,0.07968591,0.00003480689,0.00002073212,0.0002572087,0.001713991,0.0001411968,0.004124317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009568804,"threshold_uncertainty_score":0.03201085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873628756971547,"score_gpt":0.3179962689707403,"score_spread":0.2892599814010248,"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."}}