{"id":"W2092196134","doi":"10.2118/0312-0091-jpt","title":"Technology Development for Solvent-Based Recovery of Heavy Oil","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solvent; Enhanced oil recovery; Light crude oil; Waste management; Environmental science; Petroleum engineering; Petroleum; Chemical engineering; Chemistry; Process engineering; Engineering; Organic chemistry","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":[0.0006090036,0.0001437814,0.0004133356,0.001348702,0.00003022313,0.000005198814,0.0002746423,0.0003256834,0.0000132449],"category_scores_gemma":[0.0002489747,0.0001346884,0.0001177973,0.0003934701,0.00004889952,0.0001054806,0.00002327407,0.0003223881,0.000002951476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202361,"about_ca_system_score_gemma":0.00006660286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.837261e-7,"about_ca_topic_score_gemma":5.190047e-7,"domain_scores_codex":[0.9987848,0.00001349485,0.0006497597,0.0000702519,0.0001421013,0.0003396129],"domain_scores_gemma":[0.9992597,0.0001093716,0.0002054073,0.0002065111,0.0001550278,0.00006399644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009203365,0.0001230991,0.00584864,0.0003165001,0.0002114539,0.00000424402,0.00004031817,0.858582,0.0594648,0.001041653,0.0005344321,0.07374083],"study_design_scores_gemma":[0.003004334,0.00064331,0.0007153883,0.0002672073,0.00007706192,0.0001375384,0.0002026648,0.0671837,0.7182422,0.001197812,0.2078798,0.0004491058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5836844,0.002083876,0.4129929,0.0003307716,0.0006064309,0.00002692755,0.000002402866,0.0001512212,0.000121032],"genre_scores_gemma":[0.741497,0.00005015242,0.2582556,0.000006810127,0.00007871642,0.00001256575,0.000001045995,0.00002758643,0.00007055701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7913983,"threshold_uncertainty_score":0.5492432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158084144204877,"score_gpt":0.2631237011186143,"score_spread":0.2473152866981266,"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."}}