{"id":"W4220811308","doi":"10.1785/0220220019","title":"LOC-FLOW: An End-to-End Machine Learning-Based High-Precision Earthquake Location Workflow","year":2022,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Earthquake location; Workflow; Computer science; Relocation; Generalization; Flow (mathematics); Sequence (biology); Seismology; Induced seismicity; Geology; Real-time computing; Database; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005165426,0.0003021053,0.0003780276,0.0006500349,0.002321125,0.0002196889,0.00209805,0.0001354504,0.0008805309],"category_scores_gemma":[0.001480079,0.000264246,0.0001160412,0.002405622,0.0004759022,0.0003259779,0.001753608,0.002177519,0.0004679875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256629,"about_ca_system_score_gemma":0.0001694629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008144167,"about_ca_topic_score_gemma":0.00002815452,"domain_scores_codex":[0.9913593,0.003746422,0.0004015595,0.001281742,0.001893206,0.001317803],"domain_scores_gemma":[0.9963441,0.001885145,0.00008469277,0.001002667,0.0002620248,0.0004213786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005298986,0.0005274648,0.004138563,0.00001614175,0.00005632365,0.0007752804,0.0008782733,0.5536041,0.000948791,0.004430282,0.01280506,0.4212898],"study_design_scores_gemma":[0.002266526,0.007582967,0.155721,0.00004280575,0.00001653792,0.000110855,0.0002623673,0.3993972,0.0009618627,0.01268911,0.4197191,0.001229748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5107744,0.000276989,0.3849929,0.1022828,0.0006015909,0.0005575488,0.00001383186,0.000380397,0.0001195794],"genre_scores_gemma":[0.9590681,0.0000127058,0.01583062,0.02411579,0.0001613396,0.0002520568,0.00008248525,0.00002228573,0.0004546295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4482937,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305829111248674,"score_gpt":0.3152498000027689,"score_spread":0.2621915088902822,"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."}}