{"id":"W2323144786","doi":"10.1021/ef402390w","title":"Monte Carlo Simulation of Asphaltenes and Products from Thermal Cracking","year":2014,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Asphaltene; Cracking; Breakage; Monte Carlo method; Molecule; Materials science; Boiling; Fraction (chemistry); Yield (engineering); Thermodynamics; Chemistry; Composite material; Organic chemistry; Physics; Mathematics","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":[0.0008960466,0.0004204173,0.0007912544,0.0006748725,0.0007779273,0.0007013749,0.001085035,0.001235302,0.002589024],"category_scores_gemma":[0.003484822,0.0005808433,0.000726591,0.0009136429,0.0007535568,0.0006289338,0.0003846337,0.0009467148,0.0002314828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305359,"about_ca_system_score_gemma":0.001526568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729512,"about_ca_topic_score_gemma":0.01031183,"domain_scores_codex":[0.9997315,0.00007167312,0.00001120829,0.00003462523,0.00008192927,0.00006917109],"domain_scores_gemma":[0.9973847,0.001857791,0.0001564113,0.0001482782,0.000312761,0.0001399177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005690687,0.00002796819,0.0008045438,0.00001277097,0.00001189257,0.00002791644,0.000020324,0.9957016,0.0006279396,0.001951316,0.00007973341,0.0006771127],"study_design_scores_gemma":[0.0000124436,0.00001032707,0.0001442356,0.000001579894,0.00000282737,0.000004070465,0.00000458874,0.9989625,0.0003476591,0.0004246959,0.00008170588,0.000003420159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189915,0.0001787176,0.06720042,0.0002091298,0.00004182732,0.0001864677,0.0007620094,0.0003717116,0.01205825],"genre_scores_gemma":[0.9778942,0.0001145487,0.01903941,0.00006177625,0.00001155123,0.0002692405,0.0006873251,0.00007237958,0.001849515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01729512,"threshold_uncertainty_score":0.0343889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006188942009684,"score_gpt":0.2250816027551393,"score_spread":0.2150197133350425,"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."}}