{"id":"W3041428649","doi":"","title":"Avalanche Canada’s Special Public Avalanche Warning: Development and Evolution of an Effective Risk Communications Tool","year":2018,"lang":"en","type":"article","venue":"International Snow Science Workshop Proceedings 2018, Innsbruck, Austria","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Warning system; Computer security; Computer science; Telecommunications","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":[0.005412393,0.0007574806,0.0003394548,0.002369974,0.001743711,0.003515255,0.002624375,0.001197361,0.006397547],"category_scores_gemma":[0.01140561,0.0003358555,0.0002964451,0.001302845,0.0007493786,0.002063996,0.001894646,0.001220824,0.001283585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01075289,"about_ca_system_score_gemma":0.04176211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5851119,"about_ca_topic_score_gemma":0.6501117,"domain_scores_codex":[0.9963643,0.0003896822,0.00009978037,0.0001992619,0.002662707,0.0002842711],"domain_scores_gemma":[0.9861988,0.001591404,0.0006048883,0.0006320772,0.01011621,0.0008566167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004307126,0.0008203077,0.04439697,0.0003074841,0.0001507954,0.0002247959,0.001684985,0.04181661,0.01339229,0.03073251,0.09185473,0.7741878],"study_design_scores_gemma":[0.0003166498,0.001092473,0.06142109,0.0006990767,0.000378965,0.0003938636,0.003029938,0.4471875,0.03782679,0.01795103,0.4292729,0.0004296934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1815115,0.00181445,0.5215691,0.02141214,0.001111274,0.00314765,0.004884555,0.0231255,0.2414239],"genre_scores_gemma":[0.6422428,0.0009524861,0.3124928,0.001332892,0.0001033721,0.0005027,0.00269588,0.0006059661,0.03907111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4148881,"threshold_uncertainty_score":0.8346629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252632207963576,"score_gpt":0.2496634811165038,"score_spread":0.2244002603201462,"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."}}