{"id":"W7093429105","doi":"","title":"INTEGRATED ANALYSIS AND INTERPRETATION OF MICROSEISMIC
\\nMONITORING OF HYDRAULIC FRACTURING IN THE MARCELLUS SHALE","year":2016,"lang":"en","type":"other","venue":"D-Scholarship@Pitt (University of Pittsburgh)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microseism; Hydraulic fracturing; Geophone; Induced seismicity; Oil shale; Seismometer; Fracture (geology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631224,0.0001962492,0.0001455128,0.001301036,0.0002111325,0.0003403497,0.0002828578,0.0002158269,0.0004081748],"category_scores_gemma":[0.0003783608,0.0001383171,0.0001350202,0.0006491393,0.0001544037,0.0002048377,0.0004334606,0.0001795179,0.000155797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289099,"about_ca_system_score_gemma":0.0004253312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114108,"about_ca_topic_score_gemma":0.06147061,"domain_scores_codex":[0.999846,0.00001273391,0.000008672238,0.00004868121,0.00005591403,0.00002794807],"domain_scores_gemma":[0.9997324,0.00002414316,0.00004642421,0.00002305774,0.0001411233,0.00003272085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000256551,0.0001925791,0.5655692,0.0001228311,0.0001046725,0.0005365108,0.001025958,0.006915736,0.2346342,0.0003089983,0.001628989,0.1887038],"study_design_scores_gemma":[0.000006261803,0.00005602116,0.9695897,0.0000109023,0.00001623793,0.00009943269,0.0003779976,0.01581192,0.01239757,0.00009486287,0.001523154,0.00001597073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939201,0.00009701257,0.003693637,0.00005762585,0.00000668129,0.00002548331,0.0006944959,0.000143729,0.001361381],"genre_scores_gemma":[0.9906207,0.00006640103,0.007690987,0.00002278985,0.00001069006,0.0000203409,0.0008382529,0.00002182753,0.0007080102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114108,"threshold_uncertainty_score":0.02215248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113579720724575,"score_gpt":0.2334639411927446,"score_spread":0.2221059691202871,"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."}}