{"id":"W3121041980","doi":"10.1016/j.jngse.2020.103791","title":"Determination of fracture surface area from flowback data: A case study for northern Montney play, British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Natural Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Energi Simulation","keywords":"Geology; Imbibition; Petroleum engineering; Hydraulic fracturing; Geotechnical engineering; Fracture (geology); Reservoir simulation; Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005774706,0.0005279998,0.0004315034,0.002169014,0.003433625,0.001948801,0.001524876,0.0008474446,0.002293685],"category_scores_gemma":[0.002349715,0.0004024106,0.0003246992,0.004707054,0.0009046713,0.0004968579,0.000621996,0.0007179193,0.0003463391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01837472,"about_ca_system_score_gemma":0.02032141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955088,"about_ca_topic_score_gemma":0.9988666,"domain_scores_codex":[0.9994559,0.00004632483,0.00002516918,0.00005862746,0.0002507841,0.0001632998],"domain_scores_gemma":[0.9982737,0.0003554316,0.00007765003,0.00006300802,0.001063701,0.0001664091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005896421,0.0005439217,0.8148971,0.0003986299,0.0002096219,0.007914072,0.007385461,0.02929942,0.008325217,0.001728133,0.01064714,0.1180617],"study_design_scores_gemma":[0.00005484957,0.0000859803,0.9175735,0.0001604691,0.0001139102,0.0005644211,0.02090257,0.04701829,0.002965429,0.0004222101,0.01003996,0.00009846678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904372,0.0002955249,0.0008591675,0.0002447632,0.000005394717,0.000108561,0.002066037,0.00005855707,0.005924811],"genre_scores_gemma":[0.9889944,0.0003069545,0.003056286,0.00005245796,0.000002544955,0.00003299203,0.001490065,0.00003816914,0.006026107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837472,"threshold_uncertainty_score":0.1333186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00870650953031639,"score_gpt":0.2143906479940266,"score_spread":0.2056841384637103,"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."}}