{"id":"W4385362114","doi":"10.3997/2214-4609.202320030","title":"Distributed Acoustic Sensing and Machine Learning: Rockfall Detection at Mt. Meager, B.C.","year":2023,"lang":"en","type":"article","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rockfall; Computer science; Seismometer; Artificial intelligence; Artificial neural network; Machine learning; Event (particle physics); Scale (ratio); Data mining; Seismology; Landslide; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003537042,0.0005730846,0.0002503848,0.0002860247,0.0004074789,0.0004767765,0.0009339115,0.0003599804,0.002920209],"category_scores_gemma":[0.001321331,0.0001869525,0.0001526518,0.0003254212,0.0002517521,0.0003930503,0.0002841682,0.0005759787,0.0008448923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164679,"about_ca_system_score_gemma":0.001415218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3920213,"about_ca_topic_score_gemma":0.4405603,"domain_scores_codex":[0.9998444,0.00001709475,0.000004550887,0.00005777534,0.00004618202,0.0000300175],"domain_scores_gemma":[0.9996562,0.00008750609,0.00002419537,0.00004368465,0.0001459964,0.0000424051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009337615,0.000390062,0.1068433,0.0001055613,0.0001379884,0.0002811528,0.0002669333,0.5023498,0.02411249,0.0009149157,0.01385314,0.3498109],"study_design_scores_gemma":[0.00003085715,0.00006164339,0.0176832,0.000006282225,0.000009784948,0.00001171634,0.00007758944,0.9737868,0.007077358,0.0002345095,0.001008928,0.00001122055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471824,0.0001307549,0.03349651,0.0007104676,0.00004570988,0.0001019599,0.00111607,0.008930228,0.008285899],"genre_scores_gemma":[0.9820987,0.00002934151,0.01469186,0.00004489647,0.000006313043,0.00001977225,0.0005477465,0.00005607731,0.002505295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6079787,"threshold_uncertainty_score":0.779479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009018578823309123,"score_gpt":0.1987067848852614,"score_spread":0.1896882060619523,"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."}}