{"id":"W4409501000","doi":"10.5006/c2023-19167","title":"Corrosion Scale and Moisture Assessments – an Improvement to On-Stream Inspections for CUI Management","year":2023,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Emissions Reduction Alberta","funders":"","keywords":"Corrosion; Moisture; Scale (ratio); Environmental science; Process engineering; Computer science; Reliability engineering; Materials science; Engineering; Metallurgy; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130454,0.0001022278,0.00009746437,0.0001747686,0.0001309662,0.00006497029,0.00003974757,0.00006360845,0.0000118781],"category_scores_gemma":[0.000002577081,0.00008922696,0.00002914529,0.0002593822,0.000003415835,0.0000700806,0.00002530891,0.00005741935,0.00005323784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007617569,"about_ca_system_score_gemma":0.000002338547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004972425,"about_ca_topic_score_gemma":0.0001015216,"domain_scores_codex":[0.9993756,0.00000652789,0.0001435323,0.000188628,0.0001254121,0.0001602607],"domain_scores_gemma":[0.9997029,0.00001450397,0.00001223524,0.0001581595,0.00002233402,0.00008988527],"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":[0.0002257108,0.0002848107,0.001709667,0.0004069111,0.0001418332,0.00001093648,0.0006229489,0.0499074,0.1264819,0.004422614,0.1710661,0.6447191],"study_design_scores_gemma":[0.008265117,0.01020009,0.05704519,0.0004806931,0.0001728284,0.00001340451,0.009640519,0.2434879,0.1523708,0.001462174,0.5148063,0.00205501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211023,0.000004629551,0.05768043,0.00008585511,0.002330327,0.001758411,0.00004577143,0.001155623,0.01583667],"genre_scores_gemma":[0.9956232,0.00001030263,0.0005410988,0.00006078597,0.0001566781,0.0002708479,0.00002063813,0.00002405573,0.003292348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6426641,"threshold_uncertainty_score":0.363857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296212535809403,"score_gpt":0.2952306441681912,"score_spread":0.2722685188100972,"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."}}