{"id":"W4409485768","doi":"10.5006/c2023-19280","title":"Innovative Mitigation Strategies to Address AC Corrosion at Higher Frequencies","year":2023,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); Stantec (Canada); Cochrane","funders":"","keywords":"Corrosion; Computer science; Environmental science; Materials science; Metallurgy","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":[0.001504813,0.001126416,0.0005762356,0.001719971,0.0007036062,0.001296758,0.001652635,0.001047073,0.002686816],"category_scores_gemma":[0.001904236,0.0003316623,0.000568851,0.0004637336,0.0005234209,0.0015397,0.001211591,0.0009879594,0.001141065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008952394,"about_ca_system_score_gemma":0.001572487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621938,"about_ca_topic_score_gemma":0.005092766,"domain_scores_codex":[0.9987211,0.0002379701,0.00006748487,0.000147873,0.0006568405,0.0001687312],"domain_scores_gemma":[0.998238,0.0002067839,0.000255401,0.0001633067,0.001072157,0.00006441027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002697947,0.0003928757,0.0080734,0.001716102,0.0001066112,0.0006713221,0.0009331817,0.0260651,0.542097,0.005117087,0.006228145,0.4083293],"study_design_scores_gemma":[0.000160284,0.003445436,0.01879812,0.0007500866,0.0004389227,0.001539733,0.002258365,0.1121898,0.7041293,0.006649076,0.1494341,0.0002068235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2157889,0.005340212,0.7339492,0.003469076,0.0007036654,0.001211563,0.0002462675,0.004840486,0.03445069],"genre_scores_gemma":[0.8529248,0.001754557,0.136057,0.0005440602,0.0001014635,0.0001987509,0.000155712,0.0001500282,0.00811364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002686816,"threshold_uncertainty_score":0.008988321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072101034226869,"score_gpt":0.2789087402578572,"score_spread":0.2481877299155885,"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."}}