{"id":"W2540206638","doi":"10.1109/iecon.2002.1182873","title":"Intelligent systems for interactive design and visualization","year":2003,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Visualization; Gesture; Virtual reality; Process (computing); Computer vision; Artificial intelligence; Feature (linguistics); Feature vector; Object (grammar); Surface (topology); Data visualization; Coordinate system; Computer graphics (images); Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002871097,0.002744677,0.002500056,0.002412105,0.001006935,0.008349448,0.003297369,0.00426928,0.1258576],"category_scores_gemma":[0.009158802,0.001017111,0.001211275,0.002902395,0.001834414,0.006143275,0.005533087,0.003417622,0.05086914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180399,"about_ca_system_score_gemma":0.001797202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743075,"about_ca_topic_score_gemma":0.0009094697,"domain_scores_codex":[0.9960492,0.001049958,0.000453848,0.0005152465,0.001752159,0.0001796751],"domain_scores_gemma":[0.9960355,0.001319627,0.0001830693,0.00107423,0.001142747,0.0002448529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002398396,0.0001256611,0.0004418506,0.001685717,0.000239125,0.0004803512,0.0004401036,0.008300318,0.006903897,0.1561657,0.3162588,0.5087186],"study_design_scores_gemma":[0.0001082724,0.000084923,0.0003629044,0.0003640885,0.00006998772,0.0003618862,0.0000939571,0.02529383,0.001642568,0.07313346,0.8984144,0.00006983677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00165601,0.02410031,0.7028878,0.004889919,0.005730732,0.001318122,0.003696678,0.03934022,0.2163803],"genre_scores_gemma":[0.07057161,0.03734351,0.6216626,0.003545268,0.004125717,0.006419916,0.01355863,0.004268466,0.2385043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1258576,"threshold_uncertainty_score":0.4210358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045332013270016,"score_gpt":0.2511925043064391,"score_spread":0.2307391841737389,"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."}}