{"id":"W4294874181","doi":"10.1504/ijaac.2022.125287","title":"Closed-loop thickness control and sensor placement in extrusion blow moulding","year":2022,"lang":"en","type":"article","venue":"International Journal of Automation and Control","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Extrusion; Die swell; Plastics extrusion; Injection moulding; Controller (irrigation); Die (integrated circuit); Necking; Materials science; Blow molding; Mechanical engineering; Control theory (sociology); Engineering; Composite material; Computer science; Control (management)","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":[0.0004207247,0.00007982995,0.000179133,0.0001796893,0.00007883285,0.00002244743,0.0001004075,0.00003523417,0.0001452242],"category_scores_gemma":[0.0001166692,0.0000738118,0.00003805138,0.00004187427,0.00002820303,0.0001121671,0.00005057615,0.0002411937,7.743001e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008886468,"about_ca_system_score_gemma":0.00001796654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008579663,"about_ca_topic_score_gemma":0.000003078605,"domain_scores_codex":[0.9991237,0.00006360006,0.00035679,0.00008647272,0.0002770774,0.00009238657],"domain_scores_gemma":[0.9994331,0.0002047752,0.0001782912,0.0000339733,0.0001154478,0.0000344258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003886121,0.0005153163,0.08216154,0.00006660428,0.001603677,0.0004856365,0.004827861,0.1956413,0.6043122,0.05803917,0.0004844622,0.0479762],"study_design_scores_gemma":[0.006059245,0.00007254678,0.01759687,0.00002995148,0.00002652313,0.0002103334,0.0004490927,0.9748445,0.0001334653,0.0002737435,0.0002189722,0.00008479731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9253475,0.0006627892,0.06962587,0.003544158,0.0004952442,0.00009879332,0.00001727759,0.00001804667,0.000190327],"genre_scores_gemma":[0.9988329,0.00008732534,0.0002798301,0.0004536221,0.00007541561,0.00001039369,0.000002234943,0.000005816796,0.0002524033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7792032,"threshold_uncertainty_score":0.3009958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00509134216994127,"score_gpt":0.233147428270372,"score_spread":0.2280560861004307,"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."}}