{"id":"W2956119553","doi":"10.25046/aj040323","title":"An Efficient Automotive Paint Defect Detection System","year":2019,"lang":"en","type":"article","venue":"Advances in Science Technology and Engineering Systems Journal","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Computer science; Automotive engineering; Embedded system; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002611358,0.0005052851,0.0006384435,0.000769058,0.0002703755,0.0004631498,0.001016562,0.0005896239,0.003905641],"category_scores_gemma":[0.0003525129,0.0002609362,0.0002064935,0.0002889886,0.0001280856,0.0005992074,0.0005609947,0.0003085298,0.001615437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274038,"about_ca_system_score_gemma":0.0004606753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009181053,"about_ca_topic_score_gemma":0.0009435253,"domain_scores_codex":[0.9995833,0.00002083623,0.00001466409,0.00008820062,0.0002522489,0.00004070411],"domain_scores_gemma":[0.9997323,0.00002931327,0.00003061697,0.00003546047,0.0001524145,0.00001978738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003327565,0.000147152,0.002139457,0.0002006146,0.00003841342,0.0002779812,0.0000872198,0.005034664,0.6524929,0.000885575,0.00682667,0.3315366],"study_design_scores_gemma":[0.00018847,0.001397935,0.01322006,0.00003626104,0.0001058007,0.001620542,0.00006803147,0.3587092,0.5909269,0.0005509585,0.03306462,0.0001113042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1699293,0.0006682858,0.8010644,0.0002065888,0.0001762845,0.000377245,0.0004971306,0.0211777,0.005902973],"genre_scores_gemma":[0.7072805,0.0003036023,0.276884,0.0003308799,0.00008390196,0.0003269284,0.0009558185,0.0002345697,0.01359972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003905641,"threshold_uncertainty_score":0.0130657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003341229410052984,"score_gpt":0.2168283349812544,"score_spread":0.2134871055712014,"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."}}