{"id":"W4327512437","doi":"10.21611/qirt.2022.3014","title":"Defect Detection Enhancement, A Survey","year":2022,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Segmentation; Conditional random field; Artificial intelligence; Image segmentation; Prior probability; Surface (topology); Pattern recognition (psychology); Computer vision; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097082,0.001298389,0.001194028,0.004654306,0.0005454409,0.001799253,0.001710459,0.001925775,0.006689302],"category_scores_gemma":[0.002179362,0.001020629,0.00138108,0.002682954,0.0007071202,0.002674845,0.0008867984,0.001052578,0.003521365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372861,"about_ca_system_score_gemma":0.0006969901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447542,"about_ca_topic_score_gemma":0.001404935,"domain_scores_codex":[0.9989647,0.00009434241,0.00007837142,0.0003705947,0.0004217457,0.00007020025],"domain_scores_gemma":[0.9982862,0.0007576229,0.0001071139,0.0002043106,0.0005879587,0.00005672136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007235722,0.00008754848,0.000948022,0.002514554,0.00007409581,0.0001504687,0.000148114,0.002535,0.01125172,0.004286549,0.01022391,0.9677077],"study_design_scores_gemma":[0.00003606346,0.0005585203,0.008200568,0.001822452,0.0004403095,0.006920237,0.000456694,0.04072307,0.06168843,0.01061258,0.8683379,0.0002031287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01614538,0.5862079,0.3577775,0.001181064,0.001397319,0.000172434,0.0003196116,0.001435268,0.03536338],"genre_scores_gemma":[0.1473953,0.5233349,0.2635099,0.001623318,0.002385805,0.000200609,0.002004148,0.0009307932,0.05861508],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006689302,"threshold_uncertainty_score":0.02237797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305855819739432,"score_gpt":0.2184000507736798,"score_spread":0.1953414925762854,"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."}}