{"id":"W1995016088","doi":"10.1021/ie201202b","title":"Kinetic Models for Upgrading Athabasca Bitumen Using Unsupported NiWMo Catalysts at Low Severity Conditions","year":2011,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Catalysis; Asphalt; Chemistry; Fractionation; Kinetic energy; Residue (chemistry); Product distribution; Fraction (chemistry); Activation energy; Batch reactor; Thermodynamics; Hydrogen; Chemical engineering; Analytical Chemistry (journal); Materials science; Chromatography; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00027896,0.001055542,0.0007131847,0.0007008029,0.0002390904,0.000722418,0.00115778,0.0009616622,0.001286723],"category_scores_gemma":[0.0006487092,0.0003753117,0.001062271,0.0003970306,0.0003080442,0.0009306822,0.0003521266,0.0006293812,0.000727184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009378015,"about_ca_system_score_gemma":0.0005170146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006842439,"about_ca_topic_score_gemma":0.004880626,"domain_scores_codex":[0.9998894,0.00001352081,0.00001162107,0.00003020903,0.00002887405,0.00002653144],"domain_scores_gemma":[0.9998484,0.00008052377,0.00002865824,0.00001202759,0.00002366022,0.000006689653],"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":[0.0001109284,0.00007450818,0.001395692,0.000216499,0.00003675133,0.0001537898,0.0001125077,0.9419644,0.04584001,0.005352792,0.0001803849,0.004561656],"study_design_scores_gemma":[0.000005964028,0.00002069499,0.0003320682,0.000004080564,0.00000794047,0.00001679517,0.00001430126,0.9937367,0.004594128,0.0009405548,0.0003174194,0.000009364202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991818,0.001915058,0.2851156,0.0004046577,0.00008603847,0.0003028828,0.001510155,0.0004957073,0.01098806],"genre_scores_gemma":[0.9804022,0.001505406,0.008980902,0.00002604157,0.000008777156,0.0003591866,0.0006195723,0.000064531,0.008033399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006842439,"threshold_uncertainty_score":0.01360524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583078734841945,"score_gpt":0.3331012343475827,"score_spread":0.1747933608633881,"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."}}