{"id":"W4250659298","doi":"10.2118/2007-023","title":"The Impact of Oil Viscosity Heterogeneity on the Production Characteristics of Tar Sand and Heavy Oil Reservoirs. Part II: Intelligent, Geotailored Recovery Processes in Compositionally Graded Reservoirs","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscosity; Oil viscosity; Petroleum engineering; Environmental science; Oil production; Pulp and paper industry; Geology; Materials science; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002068999,0.0001958795,0.0001716249,0.0003223498,0.0001929766,0.00052178,0.0002427482,0.0001677952,0.000836178],"category_scores_gemma":[0.0004710408,0.000137065,0.0001753669,0.0002067065,0.0002975752,0.0004431207,0.0003009269,0.0002245724,0.0001251355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231578,"about_ca_system_score_gemma":0.0002246154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471156,"about_ca_topic_score_gemma":0.00216048,"domain_scores_codex":[0.9998921,0.000008295433,0.000006822785,0.00002163849,0.00003703688,0.00003412307],"domain_scores_gemma":[0.9997467,0.00008241796,0.00007522562,0.0000238678,0.00004197443,0.00002979247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004331287,0.00008466619,0.009476166,0.0001117131,0.00001602898,0.0001635223,0.00008303003,0.01690031,0.9522964,0.0004722125,0.00009379033,0.01986915],"study_design_scores_gemma":[0.00001129989,0.0004152269,0.01835062,0.00000675489,0.00001790647,0.00006404547,0.0001196402,0.07132605,0.9088387,0.0001557942,0.0006739114,0.00002004879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963858,0.0001460705,0.002651192,0.00001770632,0.000002851132,0.00001045016,0.00007465125,0.0000529346,0.0006583484],"genre_scores_gemma":[0.999052,0.00003941659,0.0006775552,0.000001922946,4.756054e-7,0.000002999593,0.00002821233,0.000006308278,0.0001910921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001471156,"threshold_uncertainty_score":0.002925217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395012427962906,"score_gpt":0.2491660450688787,"score_spread":0.2252159207892497,"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."}}