{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005919476,0.00009587222,0.000115596,0.00006727203,0.00009742844,0.00001694096,0.0001598754,0.00003548942,0.00001609172],"category_scores_gemma":[0.0001047446,0.00005806953,0.00004681016,0.0002010226,0.00002732572,0.0001035216,0.00001727168,0.000171371,0.00001372856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006786842,"about_ca_system_score_gemma":0.00001679295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361393,"about_ca_topic_score_gemma":0.003028256,"domain_scores_codex":[0.9993748,0.0001265781,0.000147086,0.00005611101,0.00009129586,0.0002041218],"domain_scores_gemma":[0.9993663,0.0002615245,0.00002517765,0.0002538511,0.00002862608,0.00006449217],"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":[0.000005779555,0.00001543125,0.011956,0.00002762826,0.00006983975,0.00000788164,0.03396907,0.9484903,0.001113295,0.0001990694,0.0002325518,0.003913117],"study_design_scores_gemma":[0.0003959619,0.00005367748,0.01375792,0.00006605106,0.00007298619,0.00007652157,0.006323664,0.9761381,0.001906454,0.00002353003,0.0009536094,0.0002315344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890834,0.0002460233,0.004499293,0.00004149691,0.0006781447,0.00008437373,0.000003834108,0.00005654433,0.005306864],"genre_scores_gemma":[0.9990792,0.000002214654,0.0004459642,0.00001343751,0.00007012917,0.00001107792,7.693206e-7,0.00002126174,0.0003559227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02764776,"threshold_uncertainty_score":0.3569735,"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."}}