{"id":"W3133256676","doi":"10.1002/cjce.24081","title":"Estimating polystyrene equation of state (<scp>EOS</scp>) parameters using the cloud and critical points of polystyrene + hydrocarbon mixtures*","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada)","funders":"","keywords":"Polystyrene; Cloud point; Equation of state; Acentric factor; Volume (thermodynamics); Thermodynamics; Materials science; Hydrocarbon; Polymer; Chemistry; Composite material; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007844435,0.0004870546,0.0003737618,0.002007394,0.0004049649,0.0005680624,0.0005471585,0.0004586295,0.0009804738],"category_scores_gemma":[0.002824345,0.0002255008,0.0004589693,0.001383835,0.0002341313,0.0007019506,0.0004131479,0.0005534245,0.0004266371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928644,"about_ca_system_score_gemma":0.0007364454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466248,"about_ca_topic_score_gemma":0.01469561,"domain_scores_codex":[0.999509,0.00003672481,0.00002167656,0.00007429341,0.0003120323,0.00004623222],"domain_scores_gemma":[0.999194,0.0002426033,0.0001053697,0.00007783555,0.0003515137,0.00002865153],"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":[0.0005298995,0.0002380807,0.09683787,0.0002656417,0.0001523965,0.0003526525,0.0002800015,0.1448204,0.6691567,0.005324605,0.002076859,0.07996496],"study_design_scores_gemma":[0.00001724662,0.0000880103,0.03736881,0.00001095841,0.00002893635,0.00006526794,0.00006166704,0.5934876,0.3666175,0.0007850702,0.001418922,0.0000500545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025794,0.0003360141,0.0917603,0.00007035155,0.00002552999,0.00009822017,0.001624994,0.001061451,0.002443759],"genre_scores_gemma":[0.980556,0.000107958,0.01771546,0.00001429845,0.000004886115,0.00004873046,0.001100469,0.0000886717,0.0003636499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466248,"threshold_uncertainty_score":0.02915424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189857422469869,"score_gpt":0.2124221885818501,"score_spread":0.2005236143571514,"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."}}