{"id":"W2324245509","doi":"10.1017/jog.2016.2","title":"Naturally triggered persistent deep slab avalanches in western Canada Part II: weather trends from model forecasts","year":2016,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Snowpack; Precipitation; Slab; Climatology; Environmental science; Meteorology; Snow; Elevation (ballistics); High resolution; Automatic weather station; Geology; Atmospheric sciences; Remote sensing; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004601771,0.0005181249,0.0002806816,0.0008062534,0.000531855,0.001179232,0.0006395567,0.0003774898,0.001651867],"category_scores_gemma":[0.00155218,0.0002437029,0.000466798,0.001355521,0.0002722065,0.0004310164,0.0003401084,0.0004916019,0.0002644236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01131052,"about_ca_system_score_gemma":0.007357382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.981469,"about_ca_topic_score_gemma":0.9819062,"domain_scores_codex":[0.999832,0.00001255158,0.000009474151,0.00004462272,0.00005599329,0.00004532668],"domain_scores_gemma":[0.9991192,0.0001202699,0.00007406767,0.00005585746,0.0005093886,0.0001211192],"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":[0.0004354422,0.000106537,0.7906067,0.0001059049,0.0002977149,0.0001852219,0.0003341529,0.182666,0.001866809,0.0005207733,0.007186003,0.01568859],"study_design_scores_gemma":[0.0000563939,0.00004724517,0.7311875,0.00004149938,0.00008045578,0.000036856,0.0005683707,0.2625315,0.001237509,0.0002016141,0.003955075,0.00005602788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873574,0.0001824831,0.0003566399,0.0001273877,0.00001025035,0.00001914917,0.009939848,0.0001072987,0.001899543],"genre_scores_gemma":[0.9872148,0.0001370451,0.0004407634,0.00001976858,0.000003159812,0.000007698071,0.01130078,0.00002171756,0.0008542652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853096,"threshold_uncertainty_score":0.08206391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330525932417835,"score_gpt":0.2062040546148516,"score_spread":0.1828987952906733,"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."}}