{"id":"W2808809304","doi":"10.1177/0144598718778164","title":"Comment on “Numerical investigation of the potential contamination of a shallow aquifer in producing coalbed methane” by Xianbo Su, Fengde Zhou, and Stephen Tyson","year":2018,"lang":"en","type":"article","venue":"Energy Exploration & Exploitation","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energi Simulation","keywords":"Coalbed methane; Aquifer; Petroleum engineering; Hydraulic fracturing; Geology; Environmental science; Groundwater; History; Geotechnical engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169994,0.0001446814,0.0001658159,0.00002345187,0.00007178471,0.00001374618,0.0001142795,0.00007675387,0.00006260169],"category_scores_gemma":[0.0000602126,0.0001241511,0.00003377982,0.0002868736,0.0002750888,0.0005319673,0.00007875031,0.00007567935,0.000006063726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210508,"about_ca_system_score_gemma":0.00001034959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007894813,"about_ca_topic_score_gemma":0.0001762196,"domain_scores_codex":[0.9984965,0.0002413493,0.0003979712,0.0002977233,0.0004246555,0.0001418301],"domain_scores_gemma":[0.9993672,0.0000567534,0.0003111788,0.0001962574,0.00002028737,0.00004826179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007040706,0.0008616923,0.1489671,0.00006047866,0.00007303731,0.000001801415,0.03113012,0.1847801,0.5727842,0.00718233,0.002431247,0.05102386],"study_design_scores_gemma":[0.003319675,0.001831218,0.4725583,0.0002085296,0.00009199772,0.000003634073,0.009284198,0.2208946,0.2822329,0.006819983,0.002021966,0.0007330886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373787,0.0000159719,0.06011773,0.001903055,0.0001163036,0.0002451101,0.00000289049,0.0000130814,0.0002071469],"genre_scores_gemma":[0.9960788,0.00003374275,0.003072185,0.0005620166,0.00002743665,0.00005118941,0.00005366587,0.00001753944,0.0001033554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3235912,"threshold_uncertainty_score":0.5062737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109523608128738,"score_gpt":0.2081261084853673,"score_spread":0.1970308724040799,"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."}}