{"id":"W2517637017","doi":"10.1177/026248930302200201","title":"Foaming Polystyrene with Mixtures of Carbon Dioxide and HFC-134a","year":2003,"lang":"en","type":"article","venue":"Cellular Polymers","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Blowing agent; Materials science; Polystyrene; Nucleation; Plasticizer; Solubility; Molar mass; Rheology; Carbon dioxide; Chemical engineering; Gaseous diffusion; Thermodynamics; Polymer; Organic chemistry; Composite material; Chemistry","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":[0.0002642524,0.0005666707,0.000317735,0.0004694121,0.0002568122,0.0001706022,0.0001408604,0.0003200254,0.0009225545],"category_scores_gemma":[0.0002844127,0.0001875192,0.0003094563,0.0002973038,0.0001903979,0.0002708766,0.0002247271,0.000251205,0.0001514712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385692,"about_ca_system_score_gemma":0.0001884565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980319,"about_ca_topic_score_gemma":0.003405123,"domain_scores_codex":[0.9997562,0.00003597361,0.00001712908,0.00004397435,0.00009181979,0.00005496778],"domain_scores_gemma":[0.9998384,0.00005704142,0.00004428968,0.000009300777,0.00002263015,0.00002829807],"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":[0.00008406027,0.00001574669,0.0002254812,0.00003367377,0.000008676549,0.00004181534,0.00002324358,0.0001104424,0.9982749,0.00002199088,0.00001028111,0.001149702],"study_design_scores_gemma":[0.000003273812,0.0003249729,0.001422203,0.00000395765,0.00001239398,0.0000503033,0.000009901993,0.0004930643,0.9973592,0.000008262678,0.0003089867,0.000003471408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981287,0.0005028898,0.0007952968,0.00001543989,0.00001261019,0.0000160476,0.00005697647,0.00002689364,0.0004451532],"genre_scores_gemma":[0.9965258,0.0005058779,0.002069993,0.00001345396,0.0000112787,0.00001372146,0.0001502254,0.00001691761,0.000692658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001980319,"threshold_uncertainty_score":0.003937542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005207066521351056,"score_gpt":0.1848181070295103,"score_spread":0.1796110405081593,"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."}}