{"id":"W2791096214","doi":"","title":"Development of Equipment Failure Prognostic Model based on Logical Analysis of Data (LAD)","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Risk analysis (engineering); Business","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":[0.001300488,0.0005052008,0.0005589357,0.001304421,0.0002377402,0.00095291,0.001098534,0.0006092048,0.001299113],"category_scores_gemma":[0.00317097,0.0003256798,0.0007304553,0.0007496107,0.0002457017,0.001000907,0.0006433872,0.0007854993,0.0005788057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008163506,"about_ca_system_score_gemma":0.001247793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007491965,"about_ca_topic_score_gemma":0.00661169,"domain_scores_codex":[0.9996029,0.00009352807,0.00003782697,0.0001191598,0.0001046435,0.00004205959],"domain_scores_gemma":[0.9991542,0.0004220996,0.0001102811,0.00006541616,0.0002170013,0.00003091898],"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":[0.00009198789,0.0001100229,0.01450623,0.0001016983,0.00008018185,0.0001088673,0.00006957397,0.8335544,0.002332178,0.007258463,0.003299833,0.1384864],"study_design_scores_gemma":[0.000002970501,0.00001910321,0.0006292647,0.000005196277,0.000008579026,0.00001607334,0.000005353718,0.9972144,0.0002694755,0.001360753,0.0004640536,0.000004821603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03205387,0.000241579,0.9636976,0.0004379615,0.00004800981,0.00009841715,0.0007415212,0.00125328,0.001427687],"genre_scores_gemma":[0.738268,0.0006189693,0.2541595,0.000259195,0.0001030634,0.0004150082,0.002122978,0.00007909663,0.003974178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007491965,"threshold_uncertainty_score":0.01489675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008984716547035388,"score_gpt":0.1628394506623266,"score_spread":0.1538547341152912,"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."}}