{"id":"W4404004374","doi":"10.2139/ssrn.5007698","title":"Unsupervised Learning for Detecting Induced Seismicity: A Case Study in the Fox Creek Area, Alberta","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Induced seismicity; Geology; Seismology; Geography; Hydrology (agriculture); Cartography; Archaeology; Geotechnical engineering","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":[0.000576495,0.0003903859,0.0002877959,0.001119234,0.0008372898,0.0009161186,0.001111296,0.0007490552,0.0006894792],"category_scores_gemma":[0.002948469,0.000166676,0.0001911378,0.002267523,0.0006074425,0.0003090674,0.0004319536,0.0003968322,0.0001300264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003192233,"about_ca_system_score_gemma":0.004830152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7999403,"about_ca_topic_score_gemma":0.9217467,"domain_scores_codex":[0.9996804,0.00004732894,0.00001577707,0.00006327239,0.0001186876,0.00007461768],"domain_scores_gemma":[0.9987642,0.0006108441,0.0001042726,0.00007978058,0.0003678577,0.00007305016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005488556,0.0005049582,0.4101394,0.0002535269,0.000151582,0.003654173,0.001909331,0.296263,0.0145923,0.003124166,0.007789234,0.2610694],"study_design_scores_gemma":[0.00007639196,0.0001279503,0.3225027,0.00003486217,0.00009086965,0.0003963339,0.003841154,0.6595217,0.005429538,0.002606764,0.005328735,0.00004301735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819043,0.0001915435,0.01328836,0.000323711,0.000009512146,0.00007860681,0.0007850508,0.0003425738,0.003076368],"genre_scores_gemma":[0.9846892,0.0001137665,0.01202069,0.00002419543,0.000006269067,0.000008379408,0.0008118721,0.00002485442,0.002300841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000597,"threshold_uncertainty_score":0.4024758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680988882128153,"score_gpt":0.2885362339521156,"score_spread":0.251726345130834,"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."}}