{"id":"W2421979979","doi":"10.5006/c2016-07463","title":"New and Old Challenges in Analyzing ECDA Indirect Inspections Data","year":2016,"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":"TransCanada (Canada); Spectra Energy (Canada); Union Gas (Canada)","funders":"","keywords":"Computer science; Process engineering; Reliability engineering; Engineering","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":[0.0001859987,0.00007176305,0.0001138968,0.0001710415,0.00002545328,0.00002135183,0.0000708342,0.00007841008,0.00006977833],"category_scores_gemma":[0.00003537287,0.00004909084,0.0000111627,0.0001486721,0.000005056374,0.0002341343,0.00004127423,0.00006909638,0.00003068763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630623,"about_ca_system_score_gemma":0.000008148655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990559,"about_ca_topic_score_gemma":0.001424005,"domain_scores_codex":[0.9995036,0.00001671157,0.0001430196,0.0001650731,0.00005792084,0.0001137256],"domain_scores_gemma":[0.9996052,0.00005585549,0.00001225379,0.0002683981,0.000006431479,0.00005190254],"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":[0.000007062702,0.000006690982,0.004656378,0.0000172684,0.0000393632,0.000004403972,0.0001866852,0.00006644021,0.004507926,0.0008926442,0.00372412,0.985891],"study_design_scores_gemma":[0.009115458,0.0004549912,0.2752436,0.001432889,0.00009909341,0.0002197136,0.001678636,0.01711445,0.03600335,0.002402412,0.6538888,0.002346684],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698734,0.007704789,0.03423867,0.001016848,0.00269137,0.0005323282,0.00003467678,0.001591595,0.08231632],"genre_scores_gemma":[0.9981323,0.0008785569,0.0001509594,0.00000312217,0.0002266358,0.00000255782,9.098827e-7,0.00001174602,0.0005932226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9835443,"threshold_uncertainty_score":0.2001866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089275431140886,"score_gpt":0.265297647184139,"score_spread":0.1563701040700504,"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."}}