{"id":"W4388507501","doi":"10.1016/j.fuel.2023.130293","title":"Synthetic asphaltene for green carbon material","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphaltene; Raw material; Petroleum; Solvent; Carbon fibers; Carbon number; Aromaticity; Chemical engineering; Chemistry; Side chain; Hydrocarbon; Biomass (ecology); Decomposition; Fraction (chemistry); Carbon chain; Organic chemistry; Molecule; Materials science; Polymer; Composite material; Geology","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":[0.0001787329,0.0004092342,0.0001588743,0.0004760002,0.0003052334,0.0004597757,0.0002263109,0.0003062013,0.005193446],"category_scores_gemma":[0.0002344425,0.0001195199,0.0001339713,0.0002796031,0.0002155314,0.0008293426,0.0003610673,0.0007802009,0.001684927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003664428,"about_ca_system_score_gemma":0.0004438742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003385354,"about_ca_topic_score_gemma":0.001102832,"domain_scores_codex":[0.9998933,0.00001247326,0.000005054867,0.00001842996,0.00005098691,0.0000197451],"domain_scores_gemma":[0.9999402,0.000007205873,0.000007550898,0.000008594193,0.00001962488,0.0000168869],"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":[0.0002736749,0.0002962198,0.0005900058,0.0007596479,0.00002670714,0.000347893,0.00007974465,0.002897841,0.9065688,0.03000257,0.003939307,0.05421767],"study_design_scores_gemma":[0.00001695385,0.0002752022,0.0005248662,0.00004113204,0.000008192353,0.0001752601,0.00004743168,0.001957456,0.9391743,0.002004528,0.05576507,0.000009587645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146929,0.01272047,0.05366876,0.001288208,0.001396231,0.0003595992,0.003156523,0.0003697012,0.1123475],"genre_scores_gemma":[0.9509203,0.007464331,0.01649258,0.0001881551,0.00009516967,0.00006656204,0.001232268,0.0001075731,0.02343301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005193446,"threshold_uncertainty_score":0.0173738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521115974757658,"score_gpt":0.2476864935977334,"score_spread":0.2324753338501568,"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."}}