{"id":"W965931222","doi":"10.1007/978-3-642-21538-4_11","title":"Thermal Dynamic Modeling and Control of Injection Moulding Process","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Injection moulding; Computer science; PID controller; Controller (irrigation); Process (computing); Finite element method; Control theory (sociology); Control engineering; Identification (biology); Thermal; System dynamics; Artificial neural network; Radial basis function; Temperature control; Mechanical engineering; Control (management); Engineering; Artificial intelligence","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":[0.0002113462,0.000215307,0.0002512352,0.0003287309,0.00008472917,0.00005205173,0.0002258239,0.0001749869,0.00001041697],"category_scores_gemma":[0.00001213526,0.0001880785,0.00003154942,0.000108318,0.0001666419,0.0001900363,0.00004495764,0.0003554563,0.000001023085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005946195,"about_ca_system_score_gemma":0.00004997469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001792342,"about_ca_topic_score_gemma":0.0000142511,"domain_scores_codex":[0.9990519,0.000004858322,0.0002396383,0.0003040497,0.000198532,0.0002009793],"domain_scores_gemma":[0.9996073,0.00003064432,0.00006101167,0.0001516853,0.0001153021,0.00003401039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007150714,0.000001806444,0.00001789017,0.0001660915,0.000007460412,9.441679e-7,0.0008232602,0.877322,0.0008069602,0.0001016699,5.204322e-8,0.1207447],"study_design_scores_gemma":[0.0001144749,0.00006360825,0.000008296474,0.0003015447,0.000009491988,0.00001355156,5.043509e-7,0.9853327,0.002698127,0.01124264,0.000005081065,0.0002100211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01604211,0.001308124,0.9807489,0.000008059256,0.0005092482,0.0001313335,0.000002325771,0.00009370796,0.001156175],"genre_scores_gemma":[0.9965366,0.00006054801,0.003230623,0.00003350436,0.00007527501,0.000004503966,6.048899e-7,0.00002968904,0.00002862346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9804945,"threshold_uncertainty_score":0.7669618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353093099901875,"score_gpt":0.2136766185243147,"score_spread":0.2001456875252959,"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."}}