{"id":"W2463366636","doi":"10.1021/acs.energyfuels.6b00898","title":"Kinetic Study of Preoxidized Asphaltene Hydroprocessing in Aqueous Phase","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; China National Offshore Oil Corporation","keywords":"Chemistry; Yield (engineering); Asphaltene; Aqueous solution; Catalysis; Atmospheric temperature range; Boiling point; Aqueous two-phase system; Diesel fuel; Arrhenius equation; Activation energy; Organic chemistry; Chemical engineering; Thermodynamics","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":[0.0001810738,0.0003849635,0.000354295,0.0001559367,0.00009643519,0.0002367422,0.0002580992,0.0002080761,0.0005060734],"category_scores_gemma":[0.0002051123,0.0001779729,0.0003995742,0.0001952864,0.0001585629,0.0003873493,0.0001450743,0.0004138809,0.000210916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003373305,"about_ca_system_score_gemma":0.0001938638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673647,"about_ca_topic_score_gemma":0.001348553,"domain_scores_codex":[0.9999052,0.000008629093,0.000005380819,0.00002651365,0.00003114249,0.00002314534],"domain_scores_gemma":[0.9999232,0.00002363069,0.00002218063,0.000004027227,0.00001773479,0.000009129961],"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":[0.0001739373,0.00004250891,0.001119127,0.0001570163,0.00001641418,0.00008677739,0.00003803727,0.005259517,0.9899183,0.0002463468,0.00003627567,0.002905843],"study_design_scores_gemma":[0.000008437552,0.0002564652,0.002556341,0.000007210457,0.00001497782,0.00004209315,0.00003536738,0.04266974,0.9536636,0.00008294109,0.0006519562,0.0000108595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935172,0.000537216,0.005032194,0.00002523539,0.00000921161,0.00002460647,0.0001715553,0.00004027017,0.0006425311],"genre_scores_gemma":[0.9968466,0.0004980472,0.001598337,0.000005811203,0.000002833645,0.00001660082,0.0001438872,0.00001268858,0.000875118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673647,"threshold_uncertainty_score":0.003327787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197949305515552,"score_gpt":0.2646646077757011,"score_spread":0.2526851147205456,"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."}}