{"id":"W4395697783","doi":"10.1016/j.ultras.2024.107316","title":"Automatic flaw detection in sectoral scans using machine learning","year":2024,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Machine learning; Variety (cybernetics); Confidentiality; Database; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028026,0.000145204,0.0001295066,0.0001558705,0.00005651516,0.000118797,0.00006420333,0.00009064389,0.00008587445],"category_scores_gemma":[0.0000601028,0.0001502621,0.00004808267,0.0004097364,0.000014306,0.0001697472,0.000008265629,0.0004211244,0.00003428441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627301,"about_ca_system_score_gemma":0.00002873727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106949,"about_ca_topic_score_gemma":0.0002740222,"domain_scores_codex":[0.9992032,0.00002481304,0.0002138881,0.0001644684,0.0001368237,0.0002567761],"domain_scores_gemma":[0.9997396,0.00009684183,0.00001518558,0.00009006695,0.0000141086,0.00004412088],"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":[0.000001939605,0.00001547852,0.001014975,0.0003972737,0.00003727043,0.00002519021,0.0005612986,0.6547959,0.2881014,0.0002037371,0.00001095989,0.0548345],"study_design_scores_gemma":[0.0001062892,0.00002031767,0.000336572,0.0001567907,0.00002116718,0.00003582765,0.00004289045,0.9837036,0.01447616,0.0001667857,0.000760524,0.0001731203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277143,0.00145612,0.06899267,0.00001168235,0.0006807344,0.0001165268,0.00000823989,0.0007121697,0.0003075401],"genre_scores_gemma":[0.9976336,0.0001105708,0.00204857,0.000006670883,0.00009157918,0.000006804872,0.00001414602,0.00005503132,0.00003306296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289076,"threshold_uncertainty_score":0.6127512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009418181610901898,"score_gpt":0.2153767030999195,"score_spread":0.2059585214890176,"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."}}