{"id":"W7132062691","doi":"","title":"DEBRIS FLOW MODELS IN THE VALEMOUNT AREA , BRITISH COLUMBIA","year":2023,"lang":"en","type":"other","venue":"CNR ExploRA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channelized; Debris flow; Debris; Landslide; Digital elevation model; Channel (broadcasting); Flow (mathematics); Hydrology (agriculture)","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":[0.0002497227,0.0004522232,0.0002401521,0.0008140962,0.0009596728,0.001465221,0.0008898706,0.0004260888,0.00216653],"category_scores_gemma":[0.001212535,0.0002732763,0.000247447,0.001304658,0.0004397497,0.00032024,0.0003636166,0.0003987608,0.0003290683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01027575,"about_ca_system_score_gemma":0.007680031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971329,"about_ca_topic_score_gemma":0.9760621,"domain_scores_codex":[0.9998702,0.00001837124,0.000007691486,0.00003914001,0.00002994357,0.00003458079],"domain_scores_gemma":[0.9995771,0.000115465,0.00002456146,0.00002230438,0.0002222102,0.00003828834],"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":[0.00008186643,0.00007784523,0.04919865,0.00006132834,0.00003880403,0.0001500591,0.0002577763,0.9255811,0.0008526619,0.001458587,0.003360562,0.01888083],"study_design_scores_gemma":[0.00001689863,0.000009594503,0.02657629,0.00001720863,0.00000988484,0.0000174686,0.0003008379,0.9695709,0.0003288953,0.000408273,0.002727382,0.00001643015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748439,0.0002657008,0.007416125,0.0001837441,0.00001425193,0.0001151464,0.004902177,0.0004296829,0.01182921],"genre_scores_gemma":[0.9817219,0.0002175853,0.006162217,0.00002507817,0.00000265822,0.00008271492,0.004646562,0.00006590729,0.007075306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02867103,"threshold_uncertainty_score":0.07455617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05926966698625116,"score_gpt":0.2450968615229479,"score_spread":0.1858271945366968,"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."}}