{"id":"W2048419245","doi":"10.1002/pen.10032","title":"Mechanical relaxations in heat‐aged polycarbonate. Part II: Statistical analysis of low‐molecular weight data","year":2003,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Repeatability; Materials science; Relaxation (psychology); Polycarbonate; Stress relaxation; Analysis of variance; Statistical analysis; Dynamic mechanical analysis; Work (physics); Thermodynamics; Composite material; Statistics; Mathematics; Polymer; Creep; Physics","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":[0.006722483,0.0003529786,0.0004977731,0.001397721,0.0003188891,0.0004421338,0.0002859955,0.0002227309,0.001289246],"category_scores_gemma":[0.02237058,0.0001145903,0.0006018325,0.001340118,0.0006398537,0.0003535272,0.0002825767,0.0005487904,0.00024334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003865258,"about_ca_system_score_gemma":0.000316234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008319753,"about_ca_topic_score_gemma":0.000788958,"domain_scores_codex":[0.9967253,0.001072633,0.0003810843,0.0005468524,0.001151249,0.0001230085],"domain_scores_gemma":[0.9794678,0.01428959,0.002378134,0.002000452,0.001694818,0.0001692911],"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":[0.005027139,0.0008203057,0.1311378,0.00125148,0.0008809799,0.0004016205,0.002102134,0.01140414,0.5676175,0.001485828,0.000797571,0.2770735],"study_design_scores_gemma":[0.00003041766,0.006304992,0.7755469,0.0000317434,0.0002413505,0.000452553,0.0004659871,0.03014585,0.1832785,0.0006905744,0.00271368,0.00009741386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352911,0.0005839173,0.06123342,0.00003435428,0.00005037775,0.0003367678,0.001234995,0.0003496932,0.0008854317],"genre_scores_gemma":[0.9750529,0.0001452619,0.02237714,0.00001889037,0.00002285024,0.0005735804,0.001100758,0.00008285951,0.0006256411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006722483,"threshold_uncertainty_score":0.03555232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648963218885323,"score_gpt":0.2389053028591384,"score_spread":0.2224156706702852,"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."}}