{"id":"W3160548096","doi":"10.18280/i2m.200201","title":"Eddy Current Probe Configuration for Full Rail Top Surface Inspection","year":2021,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Eddy current; Head (geology); Acoustics; Orientation (vector space); Surface (topology); Computer science; Eddy-current testing; Materials science; Computer vision; Artificial intelligence; Engineering; Geology; Electrical engineering; Geometry; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003233415,0.0005278816,0.0004703029,0.0004745287,0.0001796799,0.0003815965,0.0008883613,0.0007945736,0.002107506],"category_scores_gemma":[0.0009248308,0.0002598614,0.0001515774,0.0003133989,0.0003001258,0.0009874678,0.0006431003,0.000343338,0.0004797323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804839,"about_ca_system_score_gemma":0.0002501135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185184,"about_ca_topic_score_gemma":0.0006335329,"domain_scores_codex":[0.9991534,0.0001220523,0.00003873216,0.0002756557,0.0003508336,0.00005944747],"domain_scores_gemma":[0.9992674,0.000185551,0.0001124127,0.0001768731,0.0002112221,0.00004648035],"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":[0.0002727569,0.00004047339,0.001128637,0.0001421063,0.00001536258,0.0001024765,0.00006346697,0.000591394,0.9590003,0.0003923858,0.0003058831,0.03794481],"study_design_scores_gemma":[0.00007215417,0.001949894,0.01848089,0.00003377914,0.0000753331,0.002752822,0.00009069444,0.03273503,0.9329371,0.0005258392,0.01024659,0.00009977807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4204699,0.001444792,0.5713803,0.0002995848,0.0002461931,0.0003077755,0.0004128499,0.002344272,0.00309438],"genre_scores_gemma":[0.8601901,0.0002012538,0.1372866,0.0001178217,0.00003551269,0.00009223528,0.0001483997,0.00005661387,0.001871551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002107506,"threshold_uncertainty_score":0.007050276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346720613883698,"score_gpt":0.3064905085622651,"score_spread":0.2730233024234281,"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."}}