{"id":"W3047670430","doi":"","title":"Debris flow hazards and risks on Cheekye Fan, British Columbia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Debris flow; Environmental science; Debris; Geography; Meteorology","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":[0.0001945616,0.000297464,0.0002086759,0.001271746,0.005674811,0.001312603,0.0008213671,0.0006427425,0.006866444],"category_scores_gemma":[0.0008658078,0.0003004679,0.0001824454,0.001940924,0.0007168486,0.0002840258,0.001061432,0.0007175346,0.0004881872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01627635,"about_ca_system_score_gemma":0.02549738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911973,"about_ca_topic_score_gemma":0.9986722,"domain_scores_codex":[0.9997306,0.00002446842,0.000009100162,0.00002178166,0.00007355111,0.0001404836],"domain_scores_gemma":[0.99941,0.00005028982,0.00005063632,0.00001688215,0.0003022542,0.0001699408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003067947,0.000213396,0.8938053,0.0001621225,0.00007373825,0.003499055,0.00788663,0.001072088,0.001687502,0.001056688,0.01919653,0.07104027],"study_design_scores_gemma":[0.00001818821,0.00005229309,0.9613221,0.000111732,0.00001978626,0.0003086465,0.01946648,0.0005158781,0.0002742717,0.000161875,0.01772398,0.00002468822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761578,0.0006947744,0.0001059991,0.0008957978,0.00002407667,0.00007891516,0.00165286,0.00002411721,0.02036564],"genre_scores_gemma":[0.9572948,0.001223298,0.0002503401,0.0002131696,0.000006225027,0.00003979789,0.0007636732,0.00001095044,0.04019761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627635,"threshold_uncertainty_score":0.1180937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639212542420985,"score_gpt":0.240502419913189,"score_spread":0.2241102944889792,"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."}}