{"id":"W2139829580","doi":"10.1109/ultsym.1997.663136","title":"Advances in on-line monitoring of polymer injection molding process","year":2002,"lang":"en","type":"article","venue":"","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"","keywords":"Materials science; Shrinkage; Ultrasonic sensor; Molding (decorative); Composite material; Rod; Weld line; Polymer; Transducer; Flow (mathematics); Process (computing); Acoustics; Welding; Mechanics; Computer science","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":[0.00004480734,0.00008490969,0.0001008874,0.0001518387,0.00002706106,0.000009916657,0.00005109482,0.00004102179,0.0001893542],"category_scores_gemma":[0.00001011689,0.00007369988,0.00001821489,0.000252945,0.00001046194,0.0002498509,0.000004329301,0.00009958538,0.000009186844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506625,"about_ca_system_score_gemma":0.000001722966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001431155,"about_ca_topic_score_gemma":0.000003667732,"domain_scores_codex":[0.999514,0.000005023053,0.0001669566,0.00008863243,0.00009996361,0.0001254165],"domain_scores_gemma":[0.9998639,0.00001372159,0.00001912328,0.00006088887,0.00002515687,0.00001726549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001273775,0.00003305253,0.009284964,0.00027284,0.000005857576,8.990137e-7,0.0009653351,0.8798299,0.002214829,0.0001747933,0.00001750898,0.1071872],"study_design_scores_gemma":[0.0002899968,0.0001730951,0.0002867501,0.0002714538,0.000003777348,0.000005564627,0.0007152278,0.1589646,0.83862,0.0001260683,0.0003244025,0.0002191055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710931,0.005000167,0.0006966514,0.00001474958,0.0005054618,0.00005891935,5.52785e-7,0.0001972565,0.02243317],"genre_scores_gemma":[0.9987403,0.0007745153,0.00007922329,0.000006007563,0.00009113678,0.00001508125,1.812255e-7,0.00001599916,0.0002775181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8364052,"threshold_uncertainty_score":0.3005394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816182446448302,"score_gpt":0.2589529262756537,"score_spread":0.2307911018111707,"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."}}