{"id":"W4404414826","doi":"10.2139/ssrn.5021192","title":"Digital Technologies for Passive Seismic Monitoring in Cold Lake, Ab, Canada","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Passive seismic; Geology; Seismology; Remote sensing; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002625929,0.0002349238,0.0001418925,0.00137717,0.001833651,0.001507414,0.0005266211,0.000245918,0.008727021],"category_scores_gemma":[0.0009428625,0.0001672263,0.00007294325,0.002449858,0.0004015599,0.0005536291,0.0005565748,0.0003846415,0.0008289014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01728834,"about_ca_system_score_gemma":0.03544141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927171,"about_ca_topic_score_gemma":0.9961817,"domain_scores_codex":[0.9997117,0.00001200974,0.000009188818,0.00003152492,0.000165466,0.00007017346],"domain_scores_gemma":[0.9991461,0.00005927517,0.00004002482,0.0000154919,0.0006323137,0.0001066953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005135055,0.0002001927,0.1510105,0.0006415723,0.0000478978,0.0006707957,0.004454529,0.007390983,0.02019047,0.01313805,0.1110402,0.6907012],"study_design_scores_gemma":[0.00008905382,0.0001294454,0.5572804,0.0003716448,0.00005900452,0.0002692544,0.008852853,0.0250754,0.009996184,0.001901675,0.3958917,0.00008334401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679492,0.006137751,0.02000094,0.009558763,0.000250384,0.0007913308,0.02926547,0.002247835,0.2637983],"genre_scores_gemma":[0.7650917,0.004250675,0.01712696,0.0004196166,0.00004373126,0.0001300532,0.006297716,0.0001524733,0.206487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728834,"threshold_uncertainty_score":0.1254362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006687437684949334,"score_gpt":0.2177270077795696,"score_spread":0.2110395700946202,"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."}}