{"id":"W2046905771","doi":"10.1023/b:catl.0000027295.76634.ac","title":"Cold Lake Bitumen Upgrading Using Exfoliated MoS2","year":2004,"lang":"en","type":"article","venue":"Catalysis Letters","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrodenitrogenation; Asphaltene; Molybdenum; Catalysis; Asphalt; Chemistry; Hydrodesulfurization; Coke; Yield (engineering); Decomposition; Chemical engineering; Molybdenum disulfide; Residue (chemistry); Oil sands; Metallurgy; Organic chemistry; Materials science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009821463,0.0002116788,0.0003156823,0.0002569748,0.0001651685,0.00008442412,0.0001498227,0.00004963559,0.00003399483],"category_scores_gemma":[0.00001432321,0.0002221633,0.0001575925,0.0007935607,0.00005476613,0.0002175903,0.0000433539,0.0001084872,0.00008779251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680769,"about_ca_system_score_gemma":0.000009815324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004349333,"about_ca_topic_score_gemma":0.0001048224,"domain_scores_codex":[0.9989182,0.000008711666,0.0003096049,0.0002460135,0.0002034089,0.0003140886],"domain_scores_gemma":[0.9995045,0.00001718846,0.00005012977,0.0003161473,0.00003151488,0.00008051497],"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":[0.000001560853,0.00001705759,0.0005853005,0.00002849581,0.0004116812,0.00002050352,0.0004976446,0.5436682,0.4531735,0.0001144277,0.00135158,0.0001301536],"study_design_scores_gemma":[0.004713425,0.00003512836,0.004386649,0.0003038191,0.002369857,0.00006453695,0.0006891104,0.07836419,0.8223813,0.0001980467,0.08296403,0.00352996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775463,0.0003153878,0.02060851,0.0003939554,0.0002098716,0.0001009208,0.00002336248,0.0003970481,0.0004045971],"genre_scores_gemma":[0.9985134,0.00004525985,0.0006522136,0.0004427717,0.0001280199,0.000015137,0.0001130976,0.00004807067,0.00004200766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4653039,"threshold_uncertainty_score":0.9059556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176515527572649,"score_gpt":0.2012327319025971,"score_spread":0.1894675766268706,"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."}}