{"id":"W2042165927","doi":"10.1190/tle31111296.1","title":"Introduction to this special section: Passive seismic and microseimic—Part 1","year":2012,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Special section; Lode; Section (typography); Geology; Hydraulic fracturing; Raising (metalworking); Reflection (computer programming); Fracture (geology); Mining engineering; Fluid pressure; Petroleum engineering; Engineering; Seismology; Geotechnical engineering; Computer science; Mechanical engineering; Geochemistry; Engineering physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003265529,0.00008516927,0.0000860268,0.00005885932,0.0002729991,0.00005390327,0.0001024438,0.00003939794,0.00186637],"category_scores_gemma":[0.00003364195,0.00005964161,0.00002177179,0.000135446,0.00007902771,0.0002198759,0.00001446042,0.0001550969,0.001579348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022341,"about_ca_system_score_gemma":0.000009083255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125743,"about_ca_topic_score_gemma":0.00001038145,"domain_scores_codex":[0.9993763,0.00005371508,0.00009102488,0.0001452626,0.00009378669,0.0002399248],"domain_scores_gemma":[0.9996731,0.00005107596,0.00003460318,0.0001421488,0.0000165797,0.00008245498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001133952,0.00000344704,0.003936,0.000002899255,0.000004666848,2.717475e-7,0.001054273,0.00001616059,0.000272371,0.00002576322,0.93334,0.06133278],"study_design_scores_gemma":[0.00004616268,0.00003520374,0.00364871,0.000006993701,0.000009994958,0.00005481398,0.0001659972,0.0004025679,0.006000444,0.00009252474,0.9894426,0.00009399326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487182,0.0007723019,0.001128795,0.05908431,0.02276577,0.0004366594,0.00003840296,0.0004286251,0.06662693],"genre_scores_gemma":[0.9037212,0.0001002547,0.0007031383,0.01071722,0.06308505,0.000002526434,0.00003694448,0.000008101001,0.02162557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06123878,"threshold_uncertainty_score":0.999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148059499293887,"score_gpt":0.2199188445245599,"score_spread":0.2051128945951712,"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."}}