{"id":"W4399513911","doi":"10.1021/acs.macromol.3c02502","title":"Interplay between Chain Relaxation Time and Melt Crystallization Time in Microinjection Molding of Polyoxymethylene","year":2024,"lang":"en","type":"article","venue":"Macromolecules","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"State Key Laboratory of Polymer Materials Engineering; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Polyoxymethylene; Crystallization; Differential scanning calorimetry; Materials science; Crystallization of polymers; Rheology; Molding (decorative); Relaxation (psychology); Polarized light microscopy; Optical microscope; Composite material; Polymer; Polymer chemistry; Thermodynamics; Scanning electron microscope; Chemistry; Optics; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001923673,0.0001121534,0.0001418578,0.0002851793,0.00002940415,0.00005934533,0.0000451794,0.00008295423,0.00005802917],"category_scores_gemma":[0.00002345733,0.0001115134,0.00002677007,0.0002790307,0.00002413702,0.0001496808,0.00002127653,0.0001067831,0.00002079312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006028352,"about_ca_system_score_gemma":0.00001004062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006534685,"about_ca_topic_score_gemma":0.000008862348,"domain_scores_codex":[0.9993868,0.00003116395,0.0002285119,0.0001484736,0.0000829396,0.0001221416],"domain_scores_gemma":[0.9998279,0.00003679948,0.00002550572,0.00006337313,0.00002504167,0.00002133406],"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":[0.000009898257,0.000005986078,0.0002939746,0.0003716932,0.00003920262,0.000004618671,0.00135621,0.007614799,0.9595003,0.0001424456,0.0001133116,0.0305476],"study_design_scores_gemma":[0.0001987384,0.0001038715,0.001450133,0.0007251981,0.00003325659,0.00002538335,0.00006884567,0.2275847,0.7679266,0.0006911189,0.0008978368,0.0002943295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985499,0.002434713,0.01077893,0.00004884487,0.0001105594,0.0001008167,0.0000164693,0.0002266228,0.0007840163],"genre_scores_gemma":[0.9989081,0.000113242,0.0005482226,0.000005736702,0.00004873528,0.00000705728,0.00002761701,0.00003362271,0.0003076505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2199699,"threshold_uncertainty_score":0.4547384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006023296236923844,"score_gpt":0.2232952526959829,"score_spread":0.2172719564590591,"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."}}