{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001939477,0.0001052632,0.000135449,0.000237722,0.00003490296,0.00002173236,0.0001346783,0.00002717006,0.00005872576],"category_scores_gemma":[0.00001009759,0.0001017208,0.00002721088,0.0007136452,0.00005544031,0.0001797429,0.0000103897,0.00008530496,0.000004222364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002280734,"about_ca_system_score_gemma":0.00001071193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004298211,"about_ca_topic_score_gemma":0.000001146646,"domain_scores_codex":[0.999196,0.000002921959,0.0001685269,0.0001476614,0.0002259871,0.000258897],"domain_scores_gemma":[0.999759,0.00001643063,0.000008853567,0.0001287371,0.00001097452,0.00007596322],"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":[0.000002069133,0.00001084853,0.01084135,0.00003289732,0.00000737105,0.000001776945,0.0002533181,0.04465184,0.910129,0.00004660619,0.000001630136,0.0340213],"study_design_scores_gemma":[0.000153076,0.00001306272,0.01571545,0.00009538382,0.00000937355,0.00000308467,0.00002617627,0.173829,0.8099511,0.000002293453,0.00004213212,0.0001598297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921257,0.006856595,0.0002194844,0.00001339112,0.000132144,0.00002314663,8.660639e-7,0.00007662078,0.0005519974],"genre_scores_gemma":[0.9992232,0.0003882028,0.0001646215,0.000002341242,0.00004608543,0.00000279608,2.798978e-7,0.00001061565,0.0001618565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291772,"threshold_uncertainty_score":0.4148053,"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."}}