{"id":"W4313398584","doi":"10.3390/mining3010002","title":"Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines","year":2023,"lang":"en","type":"article","venue":"Mining","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Predictive maintenance; Usability; Preventive maintenance; Computerized maintenance management system; Proactive maintenance; Process (computing); Software maintenance; Risk analysis (engineering); Engineering; Computer science; Business; Software; Reliability engineering; Software system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114475,0.0001172311,0.0002175675,0.0002116124,0.0007440246,0.000009896717,0.00009975921,0.0001140469,0.00001280101],"category_scores_gemma":[0.004682689,0.000112976,0.00004284082,0.0003089314,0.00005135384,0.0001959773,0.00003596112,0.0002135697,0.00001448562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934499,"about_ca_system_score_gemma":0.0005911827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478809,"about_ca_topic_score_gemma":0.1619993,"domain_scores_codex":[0.9981778,0.0002607163,0.0004490979,0.0003279389,0.00009219024,0.0006922568],"domain_scores_gemma":[0.9961712,0.002898289,0.0003537016,0.0001336609,0.000274544,0.0001685749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001129103,0.0001154262,0.2852388,0.005914709,0.00009601131,0.00001456858,0.503937,0.0001272926,0.00004025468,0.02093091,0.1083297,0.07412621],"study_design_scores_gemma":[0.002744505,0.0003285925,0.1664877,0.003770605,0.00004023493,0.00000201422,0.5585577,0.02633873,0.000005419214,0.008003763,0.233346,0.0003747693],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105268,0.002150334,0.007084303,0.06106365,0.003410153,0.01015881,0.002835709,0.0002406806,0.002529572],"genre_scores_gemma":[0.9853835,0.0002256354,0.003674111,0.0005451057,0.0004299883,0.006168835,0.0002207143,0.0000358846,0.003316303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585205,"threshold_uncertainty_score":0.853292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2132258572860793,"score_gpt":0.503027298022836,"score_spread":0.2898014407367567,"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."}}