{"id":"W4401361321","doi":"10.1109/iccsc62074.2024.10617066","title":"Metal Structural Defect Detection Based-On Deep Learning and Grad-Cam","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Artificial intelligence; Deep learning; Computer science; Pattern recognition (psychology)","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":[0.0004583157,0.0008031704,0.0005910532,0.001036301,0.0002148492,0.0004925719,0.001521109,0.00090231,0.001343018],"category_scores_gemma":[0.0008632434,0.0002710344,0.0006072894,0.0004347206,0.0003419942,0.0008728227,0.0006893596,0.0006877565,0.0004517006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251548,"about_ca_system_score_gemma":0.0005492344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005667153,"about_ca_topic_score_gemma":0.01015616,"domain_scores_codex":[0.9997268,0.00002487249,0.00001344789,0.00008492357,0.00009635783,0.00005342665],"domain_scores_gemma":[0.9996654,0.00006726658,0.00003495894,0.00005400365,0.0001529537,0.00002550453],"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":[0.000381069,0.0003671817,0.008835621,0.0001473595,0.0001140453,0.0002253326,0.00008330392,0.2024231,0.0355332,0.001989283,0.004473072,0.7454275],"study_design_scores_gemma":[0.000003773522,0.0000691217,0.001114226,0.000006168151,0.00001008644,0.00005332979,0.00001118236,0.991544,0.006376346,0.000394228,0.0004119193,0.000005640997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3296809,0.001141851,0.6554138,0.0004048581,0.0001666252,0.0001685486,0.000363938,0.006769078,0.005890344],"genre_scores_gemma":[0.8747331,0.0003169724,0.1181208,0.0002391956,0.00003486239,0.00006894018,0.0007172912,0.00008755492,0.005681418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005667153,"threshold_uncertainty_score":0.01126832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879298604716976,"score_gpt":0.2251227208735634,"score_spread":0.2172434222688464,"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."}}