{"id":"W7093429105","doi":"","title":"INTEGRATED ANALYSIS AND INTERPRETATION OF MICROSEISMIC&#13;\\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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434678,0.0005580691,0.001412186,0.003640202,0.0001010157,0.00003869486,0.001409256,0.0006190888,0.0009502302],"category_scores_gemma":[0.0001435522,0.0005228663,0.0005216197,0.002007072,0.0006533862,0.0005493907,0.0003679969,0.0008589883,0.00005554027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332697,"about_ca_system_score_gemma":0.0001165785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008007812,"about_ca_topic_score_gemma":0.002466103,"domain_scores_codex":[0.9967657,0.0006866885,0.0005940057,0.0007527318,0.0007447415,0.0004561781],"domain_scores_gemma":[0.9964935,0.0003436428,0.001776537,0.00100272,0.000255693,0.0001278923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003162997,0.001764644,0.579226,0.003470126,0.01379338,0.0004109246,0.04817746,0.0004095742,0.2391246,0.0004008437,0.009255524,0.1008039],"study_design_scores_gemma":[0.00650024,0.0004233618,0.9102772,0.007318726,0.007277001,0.00002630869,0.01602241,0.001358902,0.007182078,0.003798997,0.03740348,0.00241128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669276,0.001818452,0.01422815,0.00009676371,0.00021639,0.000947907,0.0005574022,0.0001478574,0.01505952],"genre_scores_gemma":[0.9926052,0.0003701975,0.0004641222,0.0000158985,0.0000526812,0.000001241243,0.0001016499,0.0002653517,0.006123667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310512,"threshold_uncertainty_score":0.999963,"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."}}