{"id":"W2802178009","doi":"10.1021/acs.jced.8b00125","title":"Bubble Pressure Measurement and Prediction for <i>n</i>-Hexadecane and <i>n</i>-Eicosane + Cyclohexane, Methylcyclohexane, and Ethylcyclohexane Binary Mixtures from 303.15 to 393.15 K","year":2018,"lang":"en","type":"article","venue":"Journal of Chemical & Engineering Data","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"ConocoPhillips; Natural Sciences and Engineering Research Council of Canada; Total; Shell; China National Offshore Oil Corporation; BP","keywords":"Methylcyclohexane; Cyclohexane; Thermodynamics; Alkane; Bubble; Binary number; Chemistry; Hexadecane; Metastability; Binary system; Refining (metallurgy); Hydrocarbon; Bubble point; Physical chemistry; Organic chemistry; Toluene; Physics; Mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006570159,0.0003983401,0.0005911831,0.0001757199,0.00005369834,0.000111828,0.0004867632,0.0002417415,0.00001512719],"category_scores_gemma":[0.0003536798,0.0003788845,0.00005472154,0.0001835951,0.00009023971,0.0005498353,0.0003158541,0.0004322868,6.378156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005979076,"about_ca_system_score_gemma":0.00003741609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001745358,"about_ca_topic_score_gemma":0.000003154175,"domain_scores_codex":[0.9980029,0.00002393249,0.0006288101,0.0004381736,0.0004778984,0.0004283036],"domain_scores_gemma":[0.99841,0.0002343394,0.0001179689,0.0005536008,0.0001800057,0.0005040786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002012209,0.00004603759,0.00008550228,0.0002304165,0.0004729708,0.00001361189,0.0001834477,0.0008679219,0.9895132,0.00001914277,0.005680014,0.002686567],"study_design_scores_gemma":[0.005241022,0.000939118,0.002937377,0.001080037,0.001428626,0.0006161065,0.00005472294,0.4001429,0.3774852,0.0007842684,0.2078525,0.00143804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594877,0.01315107,0.02441812,0.0002864203,0.0008175571,0.0004102753,0.001203353,0.0001615868,0.00006394907],"genre_scores_gemma":[0.9815769,0.0006323662,0.01620833,0.0000873059,0.001249633,0.00001321399,0.0001281993,0.00009631459,0.000007698013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6120279,"threshold_uncertainty_score":0.9998663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949494409186906,"score_gpt":0.2348433825121441,"score_spread":0.215348438420275,"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."}}