{"id":"W1560581193","doi":"10.1002/pat.3322","title":"Microinjection molding of polyamide 6","year":2014,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ryerson University; Universidade de Aveiro","keywords":"Microinjection; Polyamide; Materials science; Differential scanning calorimetry; Crystallinity; Extrusion; Molding (decorative); Composite material; Polarized light microscopy; Microstructure; Polymer; Optical microscope; Scanning electron microscope; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246737,0.0002968874,0.0001543519,0.0002707663,0.000112843,0.0001896559,0.0001628611,0.000140701,0.001459961],"category_scores_gemma":[0.0001765277,0.0001804296,0.0002381381,0.0001513909,0.0001779498,0.0001897069,0.0001721096,0.0004114386,0.0002836039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291297,"about_ca_system_score_gemma":0.00009247279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453283,"about_ca_topic_score_gemma":0.0002958798,"domain_scores_codex":[0.9998603,0.000006423717,0.000009582838,0.00004719087,0.00005407149,0.0000224287],"domain_scores_gemma":[0.9998249,0.00002891882,0.00009386073,0.00002444299,0.00001708148,0.00001084141],"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":[0.00001509409,0.000006352902,0.00008896309,0.00002116843,0.000001344011,0.00003299926,0.00001478971,0.00009720208,0.9970534,0.00007578803,0.00001562905,0.00257731],"study_design_scores_gemma":[0.000001883788,0.00006987746,0.001099772,0.000003083758,0.000002408342,0.00005920201,0.000004169528,0.0003835353,0.9973477,0.00001274296,0.001013616,0.000001971083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9641274,0.0004361557,0.03051737,0.00002984617,0.00006405821,0.00009703748,0.0002313403,0.0004730955,0.004023782],"genre_scores_gemma":[0.9676012,0.0003501781,0.02844125,0.0000199451,0.00001797597,0.00006263839,0.0002626144,0.0001028561,0.003141236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001459961,"threshold_uncertainty_score":0.004884064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005965166597042711,"score_gpt":0.2022072745760156,"score_spread":0.1962421079789729,"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."}}