{"id":"W1976759792","doi":"10.2118/140449-ms","title":"Enhanced Reservoir Characterization Using Hydraulic Fracture Microseismicity","year":2011,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microseism; Geology; Seismology; Hydraulic fracturing; Amplitude versus offset; Petrology; Fracture (geology); Reservoir modeling; Amplitude; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002351559,0.0003773154,0.0003879317,0.0005477787,0.0003558897,0.00007764772,0.0009189686,0.0005158606,0.002754657],"category_scores_gemma":[0.0001027936,0.0003507282,0.00008791625,0.0005581315,0.0004451685,0.0005882467,0.00008996081,0.0007890803,0.0003506829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002824774,"about_ca_system_score_gemma":0.0001182532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005144248,"about_ca_topic_score_gemma":0.00004405704,"domain_scores_codex":[0.9978816,0.00007482829,0.0004240973,0.0006972953,0.0002585239,0.0006636377],"domain_scores_gemma":[0.9986373,0.00003864788,0.0003263984,0.0007263543,0.0001367183,0.0001345409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006021141,0.0004540039,0.1131549,0.0002509223,0.0003101672,0.0003691028,0.005802753,0.00140938,0.269062,0.0009921121,0.003815815,0.6037768],"study_design_scores_gemma":[0.0003782421,0.0001501246,0.04865216,0.00015795,0.00003680243,0.0000887176,0.0002074342,0.03672919,0.8583436,0.01397547,0.04056221,0.0007180765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975468,0.0001199141,0.0890551,0.002501987,0.0003609658,0.000300596,0.0000258521,0.001179039,0.008909741],"genre_scores_gemma":[0.9840268,0.0001160876,0.0107032,0.004744475,0.00008882824,0.000003720327,0.0001114061,0.00001694983,0.0001885596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6030587,"threshold_uncertainty_score":0.9998945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037845992101983,"score_gpt":0.2278803812336729,"score_spread":0.197501921312653,"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."}}