{"id":"W7031792089","doi":"","title":"Snow avalanches","year":2004,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Recreation; Snow removal; Hazard; Natural hazard; Natural disaster","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":[0.0004362374,0.0002693548,0.0003191105,0.0002834364,0.0006333495,0.0001751023,0.0003091872,0.0003076162,0.00004003946],"category_scores_gemma":[0.000126372,0.0002316717,0.0001013906,0.0002891639,0.0004140312,0.0004861449,0.00008385587,0.0005559064,0.00004750381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005718143,"about_ca_system_score_gemma":0.00008112376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002510357,"about_ca_topic_score_gemma":0.002557557,"domain_scores_codex":[0.9983131,0.00002387756,0.0002630973,0.0003569317,0.0002583183,0.0007846385],"domain_scores_gemma":[0.9992526,0.000111608,0.00001880071,0.0003203678,0.0001005848,0.0001960616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004269319,0.0002384047,0.006835571,0.001156657,0.0004396134,0.0002613098,0.001158119,0.03764804,0.0007821,0.869506,0.05401476,0.02753249],"study_design_scores_gemma":[0.007245748,0.001592738,0.01248239,0.0007513938,0.00006141805,0.0003022669,0.002298987,0.01866989,0.003685029,0.7299538,0.2211559,0.00180044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233671,0.01032454,0.006765614,0.0018838,0.0006227981,0.001115898,0.0003154018,0.00122512,0.05437977],"genre_scores_gemma":[0.9966305,0.001419529,0.0008867232,0.00002908134,0.0002254404,0.0001126585,0.0002808412,0.00004462288,0.0003705912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671412,"threshold_uncertainty_score":0.9447299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939426469745453,"score_gpt":0.2930041526325328,"score_spread":0.2536098879350782,"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."}}