{"id":"W1995803084","doi":"10.2118/2002-124","title":"A Reservoir Screening Methodology for SAGD Applications","year":2002,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Environmental science; Reservoir simulation; Computer science; Remote sensing; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473837,0.0001338493,0.0001472993,0.0003351207,0.00008614637,0.00008090917,0.0004021313,0.0000975419,0.0008125188],"category_scores_gemma":[0.0001867286,0.0001582386,0.0000699629,0.000119753,0.00002884225,0.0001220537,0.00001382873,0.0001616865,0.00005459983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512897,"about_ca_system_score_gemma":0.0000330428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113447,"about_ca_topic_score_gemma":0.004981971,"domain_scores_codex":[0.9991221,0.00003373154,0.0002174925,0.0001947713,0.0001258717,0.0003060674],"domain_scores_gemma":[0.9990323,0.0002903269,0.00002431611,0.0002233727,0.0001645377,0.0002651103],"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":[0.000002612426,0.000003071411,0.0002900383,0.00001685945,0.00005133272,0.000001906131,0.00006643857,0.979094,0.0002149404,0.01254819,0.003989012,0.003721657],"study_design_scores_gemma":[0.0002073771,0.000007384287,0.000288826,0.00000900514,0.000004569813,0.000004481287,0.0000196044,0.6676107,0.0000784833,0.0007563767,0.3308961,0.0001170587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03010347,0.0002068334,0.9363655,0.001122817,0.0004899208,0.0001764805,0.0001479323,0.0001979617,0.03118911],"genre_scores_gemma":[0.8623645,0.00004667501,0.1335972,0.00009306271,0.0002687028,0.0002991922,0.00006394025,0.00003267355,0.003234128],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.832261,"threshold_uncertainty_score":0.8896511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076516611793165,"score_gpt":0.3117157103320439,"score_spread":0.2040640491527274,"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."}}