{"id":"W2201996295","doi":"10.2118/138107-ms","title":"Natural Fracture Characterization From Microseismic Source Mechanisms: A Comparison With FMI Data","year":2010,"lang":"en","type":"article","venue":"Canadian Unconventional Resources and International Petroleum Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Microseism; Fracture (geology); Geology; Seismology; Induced seismicity; Hydraulic fracturing; Petrology; Geotechnical engineering","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":[],"category_scores_codex":[0.00009936615,0.0002076503,0.0001992499,0.0002200187,0.0001477887,0.0003148493,0.0006150907,0.0001266694,0.001145934],"category_scores_gemma":[0.00002960666,0.0001824136,0.00004452709,0.00007798869,0.00008900442,0.0002961518,0.00006458458,0.000538935,0.00002747758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000623919,"about_ca_system_score_gemma":0.0001066693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01313287,"about_ca_topic_score_gemma":0.06867628,"domain_scores_codex":[0.9988368,0.00001765047,0.0002374067,0.0003690204,0.0002875491,0.0002516345],"domain_scores_gemma":[0.9991382,0.00004576602,0.00007639536,0.0003305697,0.0001151596,0.0002938503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000821377,0.000537798,0.1252519,0.0004608468,0.009384518,0.0004359513,0.006976208,0.3371031,0.3634896,0.01092485,0.04742211,0.09719174],"study_design_scores_gemma":[0.0003404875,0.00001483679,0.03101947,0.00005102611,0.00003857879,0.00001765626,0.0001246892,0.5290031,0.0003028963,0.0002603216,0.4385699,0.0002569686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603373,0.0001594191,0.03386325,0.002514676,0.0006261193,0.00006514122,0.0006654155,0.00008587314,0.001682812],"genre_scores_gemma":[0.9930346,0.00003043714,0.0003815435,0.0004632092,0.0002970501,0.000007756478,0.003670976,0.00002620413,0.002088248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3911478,"threshold_uncertainty_score":0.9997671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048205640295822,"score_gpt":0.2136899047671572,"score_spread":0.203207848364199,"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."}}