{"id":"W4296086392","doi":"10.1520/ssms20220003","title":"A Modular Smart Vision System for Industrial Inspection and Control of Conformity","year":2022,"lang":"en","type":"article","venue":"Smart and Sustainable Manufacturing Systems","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Machine vision; Modular design; Process (computing); Machining; Factory (object-oriented programming); Manufacturing engineering; Production line; Robot; Computer science; Machine tool; Automation; Engineering; Artificial intelligence; Mechanical 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":[0.001461581,0.0002103155,0.0005119293,0.0002909254,0.0006753753,0.0001204163,0.0000742952,0.0001685035,0.000003301153],"category_scores_gemma":[0.00002881073,0.0002059799,0.00007984431,0.0001253043,0.00003241197,0.0002020755,0.00007497815,0.0002541609,5.159025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184369,"about_ca_system_score_gemma":0.00003389151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057345,"about_ca_topic_score_gemma":0.0000048705,"domain_scores_codex":[0.9984167,0.0001294559,0.0005288034,0.0002592411,0.0002652897,0.0004004707],"domain_scores_gemma":[0.9993671,0.0001069683,0.0001502153,0.0001963561,0.00008509981,0.00009422092],"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":[0.008869042,0.0004413664,0.01703695,0.06211694,0.003030549,0.0003105961,0.01027359,0.7512851,0.05040959,0.04508071,0.01219147,0.03895404],"study_design_scores_gemma":[0.02240466,0.003321922,0.003938814,0.0006028974,0.0003542904,0.0007249733,0.09551063,0.4680675,0.0319564,0.0002344464,0.371141,0.001742416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827837,0.0006565747,0.01112175,0.00001112101,0.002325968,0.002042069,0.00005560576,0.0003395842,0.0006636587],"genre_scores_gemma":[0.9988524,0.000005239017,0.000005138608,0.000002916127,0.0002796312,0.0003206867,0.0000103573,0.00003469078,0.0004889923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3589495,"threshold_uncertainty_score":0.8399616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090458979936327,"score_gpt":0.1955459107963835,"score_spread":0.1865000128027508,"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."}}