{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006551773,0.0002845909,0.0003145186,0.002088235,0.006612417,0.003466603,0.002236262,0.001096758,0.002330754],"category_scores_gemma":[0.02612846,0.0005556002,0.0003831424,0.002314531,0.004091814,0.001342412,0.001684,0.001146314,0.0002748716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03979797,"about_ca_system_score_gemma":0.05515593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9441387,"about_ca_topic_score_gemma":0.9636961,"domain_scores_codex":[0.9909669,0.0009670408,0.0006200043,0.0006270334,0.005518475,0.001300701],"domain_scores_gemma":[0.9617971,0.007178731,0.003691277,0.001130302,0.02093436,0.005268223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001464672,0.000264375,0.3479146,0.0009009318,0.0000407785,0.0009540433,0.5272353,0.001101874,0.0057881,0.003880069,0.005586953,0.1061865],"study_design_scores_gemma":[0.00001594695,0.0001868459,0.5421859,0.0007363926,0.00003946043,0.00058133,0.404825,0.00258392,0.001973671,0.000627164,0.04603498,0.0002093466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810508,0.0006978189,0.002141209,0.003201786,0.00002642719,0.00009994046,0.0002146268,0.0001069323,0.01246042],"genre_scores_gemma":[0.9940177,0.0006051507,0.002506001,0.0002032454,0.000002791907,0.0000251432,0.00009491108,0.00001807108,0.002526885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05586129,"threshold_uncertainty_score":0.2887559,"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."}}