{"id":"W1985607758","doi":"10.1021/ie0492101","title":"Modeling and Optimization of Product Appearance:  Application to Injection-Molded Plastic Panels","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Process (computing); Product (mathematics); Quality (philosophy); Artificial intelligence; Obstacle; Nondeterministic algorithm; Computer vision; Process engineering; Mathematics; Algorithm; Engineering","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":[0.0007293926,0.0001630246,0.0002252553,0.0002052072,0.00007841866,0.00005544111,0.0001268311,0.0002586609,0.00001501615],"category_scores_gemma":[0.0005315091,0.0001817873,0.00003415683,0.0008047036,0.00001936534,0.0001333486,0.00004459957,0.000595285,0.000009642746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849001,"about_ca_system_score_gemma":0.00004476624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005970312,"about_ca_topic_score_gemma":7.303144e-7,"domain_scores_codex":[0.9985247,0.00002372428,0.000401963,0.0002919629,0.0004203934,0.0003372212],"domain_scores_gemma":[0.9992894,0.00008397263,0.00002566324,0.0002563511,0.0001943073,0.0001503377],"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":[0.00002292567,0.000007794836,0.00001007868,0.0000723957,0.0000116555,2.607092e-7,0.00005373327,0.6694698,0.3260326,0.00000287473,0.00004662232,0.004269181],"study_design_scores_gemma":[0.0003491906,0.00002872533,0.000005510939,0.0001270395,0.000004681371,0.000009808945,0.00003866217,0.7342299,0.2645012,0.000001242801,0.00057761,0.0001263967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123145,0.0001778272,0.08590458,0.00004420224,0.0003499134,0.0006678595,0.00001057606,0.000294311,0.0002362737],"genre_scores_gemma":[0.998026,0.00001357314,0.0002022613,8.09135e-7,0.001554557,0.0001015037,0.00000692985,0.00004317816,0.00005121941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08571151,"threshold_uncertainty_score":0.7413069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936412612002783,"score_gpt":0.2953485235923174,"score_spread":0.2459843974722896,"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."}}