{"id":"W2065727286","doi":"10.1190/tle31111362.1","title":"Quantitative interpretation of the McKay oil sands thermal area: Canadian case study","year":2012,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Natural Resources; Discovery Centre","funders":"","keywords":"Geology; Oil sands; Resource (disambiguation); Petroleum engineering; Interpretation (philosophy); Consistency (knowledge bases); Facies; Stage (stratigraphy); Mining engineering; Structural basin; Paleontology; Archaeology; Geography; Computer science","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":[0.0005004281,0.0004151262,0.0002066243,0.001836781,0.001750548,0.00121437,0.0008805521,0.000479328,0.002073681],"category_scores_gemma":[0.001972668,0.0001775927,0.0002809975,0.003597127,0.0009701304,0.0004386057,0.0006205335,0.0003476338,0.00009375117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01344785,"about_ca_system_score_gemma":0.009315881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.945725,"about_ca_topic_score_gemma":0.97962,"domain_scores_codex":[0.9996384,0.00005955369,0.00001536828,0.00003594571,0.0001758141,0.00007487951],"domain_scores_gemma":[0.9994935,0.000153791,0.00003746931,0.00002514062,0.0002559957,0.00003408638],"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":[0.000537841,0.0003257998,0.2105059,0.0008952654,0.0001165571,0.01111333,0.01440917,0.4308339,0.02032115,0.06735713,0.009785807,0.2337981],"study_design_scores_gemma":[0.00008061028,0.0002025072,0.2645783,0.0002548511,0.0001189437,0.001737838,0.04082153,0.6227186,0.01266853,0.008587543,0.04801806,0.0002126769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324037,0.0003473473,0.0138108,0.000873109,0.000009872805,0.0002773626,0.002618282,0.0001329127,0.04952665],"genre_scores_gemma":[0.9860044,0.0002831521,0.009896075,0.00002463504,0.00000265317,0.00003198091,0.0004151945,0.00001833599,0.003323454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05427504,"threshold_uncertainty_score":0.1091893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159567620004744,"score_gpt":0.3074714061925947,"score_spread":0.2658757299925472,"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."}}