{"id":"W2807181399","doi":"10.1007/s11069-018-3361-5","title":"Comparison of logistic regressions and snowfall intensity–duration threshold as forecasting tools for direct-action snow avalanches in the Presidential Range, New Hampshire, USA","year":2018,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; U.S. Forest Service; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Snow; Environmental science; Natural hazard; Meteorology; Precipitation; Climatology; Range (aeronautics); Atmospheric sciences; Geology; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006059997,0.0008292016,0.0005013042,0.001959559,0.0002838677,0.0009601361,0.001001835,0.0003901461,0.002390095],"category_scores_gemma":[0.02347564,0.0003085419,0.0007223743,0.001339679,0.0002804852,0.00111153,0.000541059,0.0007909475,0.0006061774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419175,"about_ca_system_score_gemma":0.001226552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1708323,"about_ca_topic_score_gemma":0.1670448,"domain_scores_codex":[0.9985402,0.0008325083,0.0001143218,0.0002707818,0.0001438476,0.00009850655],"domain_scores_gemma":[0.9602237,0.03455258,0.001497263,0.0004448486,0.002458055,0.0008236406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009118255,0.0001056705,0.9669266,0.00004636595,0.0002298919,0.00008980485,0.0002198054,0.01313892,0.0003036112,0.000135816,0.001318033,0.01657356],"study_design_scores_gemma":[0.00006243231,0.0004090158,0.7975131,0.00004037423,0.0002652119,0.00008864073,0.001210976,0.1988098,0.0004556922,0.0002585147,0.0008450905,0.00004116237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928157,0.000354923,0.002965797,0.0003687136,0.0000394728,0.00002855755,0.001915998,0.0001112098,0.001399563],"genre_scores_gemma":[0.995699,0.0001709578,0.001871565,0.00002559801,0.00002783385,0.00001940698,0.001486454,0.00002552578,0.000673658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1708323,"threshold_uncertainty_score":0.339676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09008519489672649,"score_gpt":0.3463132283435931,"score_spread":0.2562280334468666,"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."}}