{"id":"W2315453971","doi":"10.1021/ef201545q","title":"Liquid–Liquid Phase Equilibria in Asphaltene + Polystyrene + Toluene Mixtures at 293 K","year":2011,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Polystyrene; Asphaltene; Phase (matter); Toluene; Molar mass; Analytical Chemistry (journal); Chemistry; Ternary operation; Hydrocarbon; Atmospheric pressure; Flocculation; Chromatography; Materials science; Chemical engineering; Organic chemistry; Polymer","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":[0.0001291632,0.0002447839,0.0003795538,0.000422746,0.0006698492,0.0005370125,0.0002818499,0.0002275047,0.001983751],"category_scores_gemma":[0.0003991282,0.0002238945,0.000159407,0.0005858967,0.0004807001,0.0005445256,0.000270747,0.0006786524,0.0004696138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004269238,"about_ca_system_score_gemma":0.0003428982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004365088,"about_ca_topic_score_gemma":0.005316982,"domain_scores_codex":[0.9997644,0.00002149586,0.00001295877,0.00003617365,0.0001199145,0.00004502141],"domain_scores_gemma":[0.9998065,0.00008923145,0.00003542473,0.000008289732,0.00004293467,0.00001769861],"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":[0.0003558803,0.00003410371,0.001446423,0.0000773711,0.00001975444,0.0002498034,0.0002102346,0.0006674136,0.9950038,0.0002121956,0.00009039466,0.001632701],"study_design_scores_gemma":[0.00002045596,0.0001341415,0.008439657,0.000008246986,0.00001656899,0.0001534226,0.0002205551,0.004987448,0.9852959,0.0001058794,0.0006005172,0.00001724125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960283,0.0004203272,0.0009612833,0.00006114532,0.00001121265,0.00001195926,0.0004206421,0.00005935995,0.002025754],"genre_scores_gemma":[0.9985653,0.0002871229,0.0003918629,0.00001220524,0.00000521792,0.00001295406,0.0002392273,0.00001476147,0.0004713697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004365088,"threshold_uncertainty_score":0.00867933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913403973389978,"score_gpt":0.254541683075879,"score_spread":0.2354076433419792,"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."}}