{"id":"W2071884348","doi":"10.1002/pen.20852","title":"Real‐time diagnosis of co‐injection molding using ultrasound","year":2007,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Core (optical fiber); Mold; Molding (decorative); Composite material; Ultrasonic sensor; Compression molding; Flow (mathematics); Transfer molding; Volume (thermodynamics); Ultrasound; Acoustics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004322895,0.0003424411,0.0002512055,0.0006999926,0.00008615612,0.0003509481,0.0003042009,0.0004688555,0.0005192113],"category_scores_gemma":[0.001271289,0.0002286662,0.0001052076,0.0002404711,0.0003840711,0.0003324851,0.000267542,0.0003451691,0.0002006034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749292,"about_ca_system_score_gemma":0.0001672472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000408318,"about_ca_topic_score_gemma":0.0004534629,"domain_scores_codex":[0.9996921,0.00006827326,0.00001096404,0.00006986312,0.000130877,0.00002796888],"domain_scores_gemma":[0.9991366,0.0004992539,0.0001429815,0.00004154682,0.0001491974,0.00003044916],"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":[0.0003714423,0.00004392568,0.006065873,0.0001130898,0.00001187274,0.0001415428,0.0001351757,0.001613256,0.9446048,0.0002242986,0.0002133689,0.04646129],"study_design_scores_gemma":[0.00003144099,0.0002688348,0.0123707,0.00001798613,0.00003446985,0.0005543359,0.00006194373,0.08390862,0.9017044,0.000157489,0.0008637167,0.00002607176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243206,0.001319119,0.1718388,0.0001002738,0.00007227469,0.00007234738,0.000128209,0.001029498,0.001118993],"genre_scores_gemma":[0.9649466,0.0003105527,0.03402166,0.00003218327,0.00002077772,0.00002489021,0.00004342159,0.00002204066,0.0005778093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006999926,"threshold_uncertainty_score":0.002286136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239342602266878,"score_gpt":0.2333673714544833,"score_spread":0.2209739454318145,"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."}}