{"id":"W2905168744","doi":"10.1109/crv.2018.00047","title":"Automotive Semi-specular Surface Defect Detection System","year":2018,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Automotive industry; Specular reflection; Surface (topology); Computer science; Materials science; Optics; Engineering; Physics; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002514482,0.0003998947,0.00052391,0.0006990993,0.0002165395,0.0004179052,0.0007392946,0.0005439822,0.002736416],"category_scores_gemma":[0.0003291185,0.0002023603,0.0002021065,0.0002272703,0.0001298054,0.0005104265,0.0005202559,0.0002582968,0.001510542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206034,"about_ca_system_score_gemma":0.0003999681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009550838,"about_ca_topic_score_gemma":0.001070586,"domain_scores_codex":[0.9996716,0.0000230998,0.00001146883,0.0000619213,0.0001951495,0.00003682723],"domain_scores_gemma":[0.999595,0.0000489171,0.00004927313,0.00006398383,0.0002157046,0.00002706653],"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":[0.0004684206,0.0001276617,0.004790956,0.000214232,0.00004158475,0.0002945638,0.0001431516,0.01094728,0.5941921,0.0009900811,0.005117068,0.3826729],"study_design_scores_gemma":[0.00009225107,0.001376209,0.0246806,0.00003054286,0.00008851712,0.002157808,0.0001302209,0.4658717,0.4818362,0.0005442511,0.02307474,0.0001170373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.206175,0.0004797236,0.7781432,0.00009902168,0.000111016,0.000140989,0.0003653888,0.008983596,0.005502018],"genre_scores_gemma":[0.8338206,0.0002370694,0.153522,0.0001516519,0.00004087262,0.0001209233,0.0008035541,0.0001301178,0.01117328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002736416,"threshold_uncertainty_score":0.00915426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008791748725092228,"score_gpt":0.2004210728154376,"score_spread":0.1916293240903454,"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."}}