{"id":"W7001878230","doi":"","title":"On-line adaptive control for thermoforming of large thermoplastic sheet","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermoforming; Temperature control; Infrared thermometer; Tearing; Process (computing); Thermocouple; Temperature measurement; Process control; Forging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002454881,0.0004062603,0.0002813299,0.0002119662,0.0002433584,0.0004858898,0.0007055347,0.0002106401,0.003116925],"category_scores_gemma":[0.0004873533,0.0001265932,0.000137556,0.0001256266,0.000277481,0.0002197471,0.0003461726,0.000285021,0.0003999275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224937,"about_ca_system_score_gemma":0.0002156776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136879,"about_ca_topic_score_gemma":0.002131192,"domain_scores_codex":[0.9997974,0.00002980836,0.000008328477,0.00005552639,0.00008416447,0.00002479365],"domain_scores_gemma":[0.9997534,0.00008736917,0.00004768298,0.00003901835,0.00005601554,0.00001645325],"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":[0.001053609,0.0005082604,0.002365145,0.0002779839,0.00005459751,0.000201765,0.0004743272,0.1633654,0.4308081,0.002275017,0.003706583,0.3949092],"study_design_scores_gemma":[0.00006640096,0.000375127,0.002410453,0.0000169465,0.00002220089,0.00008099548,0.00003326505,0.9062772,0.08422457,0.0007442465,0.00572137,0.00002722612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3191525,0.0002960871,0.6576732,0.0001111976,0.0001517373,0.0001763967,0.00009926458,0.005749482,0.01659008],"genre_scores_gemma":[0.9798781,0.00003921128,0.01740889,0.00002761554,0.0000148682,0.00005032707,0.00003484199,0.0000732281,0.002472912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003116925,"threshold_uncertainty_score":0.01042718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177129452616459,"score_gpt":0.242254937858559,"score_spread":0.2304836433323944,"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."}}