{"id":"W4403141875","doi":"10.3997/2214-4609.202438024","title":"Pseudo-Well Modelling and Trace Matching Stochastic Inversion for Unconventional Plays - Western Canada Examples","year":2024,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Inversion (geology); TRACE (psycholinguistics); Computer science; Matching (statistics); Geology; Mathematics; Seismology; Statistics","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":[0.0002262169,0.0003948874,0.0002360933,0.0003803132,0.0004213089,0.0006583589,0.0009475541,0.0005711387,0.001706178],"category_scores_gemma":[0.0007631934,0.0001849398,0.0002734353,0.0006099897,0.0005955631,0.0003467914,0.0003841218,0.0003463625,0.00009437924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003000369,"about_ca_system_score_gemma":0.003188722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.545057,"about_ca_topic_score_gemma":0.5548107,"domain_scores_codex":[0.999897,0.00001842057,0.000004522584,0.00001529486,0.00003602915,0.00002879208],"domain_scores_gemma":[0.999762,0.00008606788,0.00002288391,0.00001920839,0.00008619743,0.00002364895],"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":[0.00001931073,0.000006350434,0.001779489,0.00000579275,0.000004723182,0.00004941407,0.00002280783,0.9926791,0.0005014477,0.003214003,0.0001467678,0.001570857],"study_design_scores_gemma":[0.000002086768,0.000002475427,0.0002976607,7.363719e-7,0.000001109686,0.000003992262,0.00001368252,0.9988544,0.0002293718,0.0004212791,0.0001706123,0.000002592116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419157,0.00008455032,0.1400519,0.0003532999,0.00001921127,0.00005745357,0.001257689,0.0005748786,0.01568543],"genre_scores_gemma":[0.985716,0.00003212168,0.01157794,0.00001392533,0.000001538081,0.00001530602,0.0002060098,0.00003296857,0.002404174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.454943,"threshold_uncertainty_score":0.9152445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784218760872577,"score_gpt":0.2509749967225155,"score_spread":0.2231328091137897,"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."}}