{"id":"W4250530401","doi":"10.1002/9781118445112.stat04159","title":"Group Maintenance Policies","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generalization; Feature (linguistics); Computer science; State (computer science); Group (periodic table); Mathematics; Algorithm","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000137086,0.0006352924,0.0007184802,0.0002921382,0.00005768488,0.00007713145,0.00044654,0.0004651323,0.001589393],"category_scores_gemma":[0.0001807557,0.0005939279,0.00006254736,0.0002429208,0.0002422001,0.0000649468,0.00007527576,0.000597444,0.0003874415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671788,"about_ca_system_score_gemma":0.00005873627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374152,"about_ca_topic_score_gemma":0.001979894,"domain_scores_codex":[0.997759,0.0000595264,0.000575151,0.0005117425,0.0003852671,0.0007093012],"domain_scores_gemma":[0.9985713,0.0001100887,0.0002197873,0.0007583797,0.0001348387,0.0002056524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001026812,0.00007134596,0.00001661001,0.0006080852,0.00007758159,0.00001075088,0.00004654514,0.003192471,0.0000333532,0.04539405,0.936546,0.01399289],"study_design_scores_gemma":[0.0004235804,0.0001055931,0.00007476118,0.0008388664,0.00006109971,0.000005862489,0.00004240687,0.03282215,0.000004724823,0.005823659,0.9590131,0.0007842095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001268891,0.000987161,0.8115261,0.0000591182,0.001036156,0.0004892811,0.01847539,0.001344788,0.1660693],"genre_scores_gemma":[0.001242946,0.04132317,0.5067805,0.0004312945,0.001104965,0.0001226595,0.01902297,0.002145967,0.4278255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3047456,"threshold_uncertainty_score":0.9996512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382424778686066,"score_gpt":0.2451415083979604,"score_spread":0.2313172606110997,"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."}}