{"id":"W1968812675","doi":"10.1139/t01-030","title":"An empirical-statistical model for debris flow travel distance","year":2001,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debris flow; Landslide; Entrainment (biomusicology); Geology; Flow (mathematics); Geotechnical engineering; Magnitude (astronomy); Deposition (geology); Mechanics; Debris; Geometry; Mathematics; Geomorphology; Structural basin; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033341,0.0001533356,0.000184286,0.00005105905,0.0004279847,0.00009774374,0.0003839239,0.0002402819,0.00150415],"category_scores_gemma":[0.00007660298,0.0001196597,0.0001023783,0.0001597998,0.0001791277,0.0001679441,0.00002153393,0.0005086014,0.0001105543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537616,"about_ca_system_score_gemma":0.0001839274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976156,"about_ca_topic_score_gemma":0.01676591,"domain_scores_codex":[0.99844,0.00003214591,0.0003008395,0.0002843444,0.0002544282,0.000688293],"domain_scores_gemma":[0.9979948,0.00004230359,0.00005118049,0.0002285182,0.00001902297,0.001664139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001579587,0.0001457627,0.006478352,0.000005186072,0.00003289834,0.0007088908,0.0002304459,0.7603868,0.0003220274,0.0007718412,0.1306367,0.1001231],"study_design_scores_gemma":[0.0003605034,0.0001071427,0.006757608,0.000008805975,0.00002354228,0.0005203846,0.00001485646,0.9188631,0.000004859415,0.007023543,0.0661084,0.0002072884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01491047,0.00004310337,0.9805893,0.002880621,0.0001223555,0.0001702772,0.0001389524,0.00002760839,0.001117287],"genre_scores_gemma":[0.9744643,0.00008351442,0.02252677,0.001920946,0.0001560651,0.00001187444,0.00002695007,0.00002989352,0.0007797131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9595538,"threshold_uncertainty_score":0.9994086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166163501116946,"score_gpt":0.2619542657240815,"score_spread":0.2453379156123869,"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."}}