{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002550717,0.0006197306,0.0007741739,0.0007728806,0.0006321206,0.001106799,0.002304243,0.0009029258,0.007499755],"category_scores_gemma":[0.006311116,0.0002461995,0.0004700392,0.0007258927,0.0007738361,0.002015819,0.001298514,0.0009940194,0.001267115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009942146,"about_ca_system_score_gemma":0.0008291127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007988841,"about_ca_topic_score_gemma":0.0007125757,"domain_scores_codex":[0.997905,0.0006780202,0.0001148294,0.0004292516,0.0006061547,0.000266792],"domain_scores_gemma":[0.9957706,0.001504865,0.0005747717,0.001345242,0.0005462545,0.0002582265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007315915,0.0004872081,0.005692084,0.0003555406,0.0001572471,0.0004512524,0.0004116273,0.425577,0.01054376,0.1983348,0.03131159,0.3259463],"study_design_scores_gemma":[0.0001282831,0.0003702837,0.001423454,0.00004912969,0.00006316745,0.0004466474,0.00008510556,0.831227,0.006308206,0.1345679,0.02529435,0.00003650138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09266927,0.0007357297,0.883251,0.0008079836,0.0003248136,0.0002412391,0.0002822524,0.001520605,0.02016714],"genre_scores_gemma":[0.8725066,0.0002955558,0.1161377,0.0001897934,0.000179317,0.0002157387,0.000283066,0.0001900944,0.01000225],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007499755,"threshold_uncertainty_score":0.0250892,"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."}}