{"id":"W6990275962","doi":"","title":"In-cycle control of the extrusion blow molding process","year":2004,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Control (management); Patience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001215509,0.0002132809,0.0002020476,0.0001581028,0.0002941581,0.0004344091,0.0002702673,0.0001677984,0.002057402],"category_scores_gemma":[0.0002374885,0.0001029073,0.0001327281,0.0001489151,0.0001664182,0.000231292,0.0001513575,0.0001947424,0.0002436051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965107,"about_ca_system_score_gemma":0.0002372484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009016074,"about_ca_topic_score_gemma":0.002385998,"domain_scores_codex":[0.9999015,0.000006423339,0.000005332987,0.00001942274,0.00004639399,0.0000208676],"domain_scores_gemma":[0.9999187,0.00002498981,0.00001894518,0.00000949117,0.00001995741,0.000007945066],"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":[0.0003135612,0.0001240712,0.0005243861,0.0001646844,0.000006446086,0.0001196086,0.0001187135,0.004957688,0.9514066,0.001142785,0.0005243805,0.04059707],"study_design_scores_gemma":[0.00002052618,0.0002266474,0.001765927,0.000004837612,0.000004934484,0.00003790328,0.00002168574,0.02522595,0.9682878,0.0001872799,0.004206673,0.000009824226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9760875,0.0008262788,0.01364544,0.0001394428,0.0001181183,0.00006663972,0.0001649217,0.0002842336,0.008667457],"genre_scores_gemma":[0.9900144,0.0003482551,0.003259471,0.00001560263,0.000007252917,0.00001830843,0.00009337783,0.00002860735,0.006214711],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002057402,"threshold_uncertainty_score":0.006882727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005973327574980605,"score_gpt":0.2244473420809311,"score_spread":0.2184740145059505,"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."}}