{"id":"W2185182583","doi":"","title":"Time to depth conversion and uncertainty characterization for SAGD base of pay in the McMurray formation","year":2012,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Oil sands; Asphalt; Kriging; Hydrogeology; Petroleum engineering; Geotechnical engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001708151,0.0002928366,0.0001914187,0.001731873,0.0003483647,0.0006707093,0.0005136692,0.0002857895,0.001148503],"category_scores_gemma":[0.0006793423,0.0001516631,0.0002612167,0.001141609,0.0003158959,0.0002149531,0.0005042881,0.0002930427,0.0001478613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291629,"about_ca_system_score_gemma":0.0007427563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2927512,"about_ca_topic_score_gemma":0.3466569,"domain_scores_codex":[0.9998299,0.000007491403,0.000008481524,0.00003684417,0.00007732048,0.00003989473],"domain_scores_gemma":[0.9997354,0.00005261536,0.00005774133,0.00003227371,0.00007830341,0.00004372621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004531642,0.000118536,0.6836774,0.00008778129,0.0001094499,0.001031924,0.0007799448,0.2171393,0.03341028,0.001494007,0.0009339277,0.06076427],"study_design_scores_gemma":[0.00001079875,0.00005203381,0.6939732,0.00001495866,0.00002021835,0.0001280659,0.0007284746,0.2958704,0.007646908,0.0002348182,0.001276795,0.00004321314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966909,0.00002909348,0.001065764,0.00002059021,0.000002033666,0.000009073443,0.001028639,0.00007866319,0.001075316],"genre_scores_gemma":[0.9984052,0.00001016178,0.000740725,0.000001753389,8.044427e-7,0.00000266959,0.000626928,0.000006261945,0.0002055292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7072488,"threshold_uncertainty_score":0.5820944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780804259161822,"score_gpt":0.2526312736000345,"score_spread":0.2348232310084162,"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."}}