{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007381954,0.0000760139,0.0001216332,0.00003984222,0.00004761173,0.00002482232,0.0001147098,0.00005738252,0.0002083016],"category_scores_gemma":[0.00003626269,0.00006988199,0.00006787345,0.0001091581,0.00001675046,0.00001798471,0.00002571146,0.00003623883,0.00004942214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001520146,"about_ca_system_score_gemma":0.00001815154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033285,"about_ca_topic_score_gemma":0.000008179585,"domain_scores_codex":[0.9994293,0.000003618939,0.0001056769,0.0001725257,0.00009398891,0.0001948542],"domain_scores_gemma":[0.9997108,0.00002687204,0.00003661555,0.0001617095,0.00002287442,0.00004111194],"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":[0.00007259485,0.00004382896,0.0007899618,0.001170687,0.0001199522,0.00002185311,0.0001735993,0.0000335135,0.9614682,0.00006057737,0.0009370376,0.03510816],"study_design_scores_gemma":[0.002155853,0.00007152715,0.0005184064,0.0003490199,0.0006108371,0.0000199928,0.0005779745,0.03832503,0.7354125,0.005964885,0.2149377,0.001056248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538882,0.00009575262,0.00001034197,0.0003892104,0.0001361452,0.000005273361,0.00007786295,0.0003005204,0.04509667],"genre_scores_gemma":[0.9438534,0.00001078109,0.0000522828,0.00002114992,0.0004107356,0.00003284756,0.0000721957,0.00001922647,0.05552732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2260558,"threshold_uncertainty_score":0.2849705,"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."}}