{"id":"W2052964535","doi":"10.1108/13552511111116268","title":"Mapping the dynamics of overall equipment effectiveness to enhance asset management practices","year":2011,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Overall equipment effectiveness; Originality; Asset (computer security); Function (biology); Risk analysis (engineering); Asset management; System dynamics; Investment (military); Operations management; Engineering; Business; Computer science; Qualitative research; Economics; Microeconomics; Production (economics); Finance; Computer security","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":[0.002294961,0.000368558,0.0001990648,0.003280695,0.0005098272,0.002460848,0.0006571602,0.0004123883,0.004670355],"category_scores_gemma":[0.01372593,0.0002112924,0.0002818255,0.003185347,0.001232584,0.003477613,0.001465979,0.0005045235,0.0003412965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185644,"about_ca_system_score_gemma":0.00149531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360053,"about_ca_topic_score_gemma":0.006438154,"domain_scores_codex":[0.9985989,0.0007996637,0.00006663187,0.0001749454,0.0002559232,0.0001039251],"domain_scores_gemma":[0.9907046,0.006627095,0.001252654,0.0005767504,0.0006743963,0.0001645098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001952181,0.0003314324,0.4223471,0.001575881,0.0001826028,0.0008090559,0.06794931,0.05181409,0.008917375,0.05696465,0.001895761,0.3870175],"study_design_scores_gemma":[0.00002733768,0.0005832916,0.6004323,0.001021022,0.0001169284,0.0005437103,0.1089862,0.1697712,0.006417655,0.08671644,0.0252592,0.0001247475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911225,0.0003100193,0.06764365,0.0007183693,0.00001052593,0.0002438392,0.0005593855,0.0001556197,0.0191336],"genre_scores_gemma":[0.9824008,0.0001240562,0.0168421,0.00001357108,0.00000147135,0.00005441021,0.00009375804,0.00001215344,0.0004575393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006360053,"threshold_uncertainty_score":0.01585799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04665165582430302,"score_gpt":0.2981400312505229,"score_spread":0.2514883754262199,"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."}}