{"id":"W2099738282","doi":"10.1002/pen.11141","title":"Ultrasonic in‐line monitoring of polymer extrusion","year":2000,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"","keywords":"Materials science; Extrusion; Ultrasonic sensor; Polypropylene; Plastics extrusion; Composite material; Polymer; Polyethylene; High-density polyethylene; Extrusion moulding; Elastomer; Acoustics","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":[0.0002973687,0.0003160763,0.0003190165,0.0004957937,0.000141046,0.0002773826,0.0004416058,0.0005634578,0.001091942],"category_scores_gemma":[0.0007753035,0.0001392834,0.0001092129,0.000345189,0.000188952,0.00031496,0.0002111551,0.000471147,0.0002378048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640499,"about_ca_system_score_gemma":0.0001074207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001956428,"about_ca_topic_score_gemma":0.0002428392,"domain_scores_codex":[0.9994285,0.00008121204,0.00002084417,0.0001027114,0.0003068247,0.00005992976],"domain_scores_gemma":[0.999127,0.0002474113,0.0002112321,0.00006497661,0.0002940966,0.000055369],"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":[0.0002936869,0.00004613512,0.002348335,0.00006041781,0.000009346602,0.0001063336,0.00009737962,0.0001635307,0.9892419,0.00003262954,0.00007162439,0.007528733],"study_design_scores_gemma":[0.000007866173,0.0003676731,0.005312056,0.00000442886,0.00001464407,0.0001498608,0.00003630843,0.001778403,0.9916026,0.000006861902,0.0007126286,0.000006634256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854296,0.0004380002,0.01301394,0.0000195235,0.00002696327,0.00001764255,0.0001064873,0.0002619717,0.0006857669],"genre_scores_gemma":[0.9922408,0.0002184494,0.005880017,0.00002346629,0.00001353133,0.00002099118,0.0002022488,0.00003101497,0.001369509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091942,"threshold_uncertainty_score":0.00365299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00971674024288552,"score_gpt":0.2033093097552036,"score_spread":0.193592569512318,"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."}}