{"id":"W2008928087","doi":"10.2118/148976-ms","title":"The Ultimate Potential for Unconventional Gas in the Horn River Basin: Integrating Geological Mapping with Monte Carlo Simulations","year":2011,"lang":"en","type":"article","venue":"Canadian Unconventional Resources Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Monte Carlo method; Geology; Grid; Hydrology (agriculture); Mathematics; Statistics; Geotechnical engineering; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001510632,0.0004629759,0.000575183,0.001451118,0.000853647,0.001448046,0.001448459,0.00109775,0.001874881],"category_scores_gemma":[0.007842662,0.0007331116,0.0005874069,0.001143618,0.0007280077,0.001192658,0.0006744434,0.0007095933,0.0001417506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003480684,"about_ca_system_score_gemma":0.002556542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2799355,"about_ca_topic_score_gemma":0.2253554,"domain_scores_codex":[0.9997299,0.0001241924,0.00001591703,0.00004825542,0.00004522895,0.00003633143],"domain_scores_gemma":[0.9962197,0.003003081,0.0001866601,0.0001428063,0.0003201264,0.0001275557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001004685,0.00001006855,0.004728136,0.000004868405,0.00001105839,0.00001473798,0.00002408456,0.9930928,0.00003724836,0.0008297671,0.00004146381,0.001195669],"study_design_scores_gemma":[0.000002874337,0.00000262158,0.0005647432,0.00000296748,0.000003389605,0.000001715982,0.00001498784,0.9987753,0.00003008202,0.0005355522,0.00006217684,0.000003561383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370716,0.0001590289,0.05273524,0.0004340675,0.00001620612,0.00009449093,0.0004607112,0.0003974822,0.008631229],"genre_scores_gemma":[0.9829661,0.00005563337,0.01591218,0.00002958252,0.000006447539,0.00005602159,0.0001447349,0.00005416662,0.0007750835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7200645,"threshold_uncertainty_score":0.5566122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203596167440518,"score_gpt":0.2113774269247521,"score_spread":0.1793414652503469,"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."}}