{"id":"W2470712906","doi":"10.1021/acs.energyfuels.6b00578","title":"Athabasca Bitumen In Situ Upgrading Reaction Monitoring: Operational Parameters versus Distillates Nature and Permanent Upgrading Achievable","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Process engineering; Asphalt; Distillation; Vacuum distillation; Combustion; Environmental science; Computer science; Pulp and paper industry; Waste management; Materials science; Chemistry; Engineering; Chromatography","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":[0.0002324128,0.0003539233,0.0002132211,0.0006581421,0.000474101,0.0007026129,0.0003062337,0.0002902214,0.001554717],"category_scores_gemma":[0.0002317808,0.0001159333,0.0002296319,0.0005627619,0.000323398,0.0004396162,0.0003333531,0.0004571769,0.0003832339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302525,"about_ca_system_score_gemma":0.0003720018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004288583,"about_ca_topic_score_gemma":0.01022797,"domain_scores_codex":[0.9997446,0.00002331459,0.00001103996,0.00005913841,0.0001237994,0.00003805147],"domain_scores_gemma":[0.9998108,0.00002843379,0.00005160108,0.00002675574,0.00006355061,0.00001896868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001592169,0.0000234336,0.002827174,0.0001200562,0.000007987981,0.0001160099,0.00006319709,0.001131465,0.9824229,0.0002886981,0.0001058331,0.01273391],"study_design_scores_gemma":[0.000004166739,0.0001585993,0.0124834,0.00001261809,0.00002049723,0.0001129981,0.0001410374,0.001958301,0.9794258,0.0001209778,0.005543958,0.00001756523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835528,0.0005785446,0.008869508,0.00008789292,0.00002023421,0.00004446824,0.001156393,0.0002574784,0.005432601],"genre_scores_gemma":[0.9913467,0.000326565,0.004862347,0.00002348881,0.000003560045,0.00003262592,0.0003784144,0.00004920826,0.00297712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004288583,"threshold_uncertainty_score":0.008527219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222407807750882,"score_gpt":0.246344221263868,"score_spread":0.2341201431863592,"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."}}