{"id":"W1681165416","doi":"10.1002/9780470061572.eqr105","title":"Group Maintenance Policies","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generalization; Feature (linguistics); State (computer science); 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"],"consensus_categories":[],"category_scores_codex":[0.001191358,0.0003098135,0.0006451704,0.0002736523,0.00002189352,0.00001100989,0.0001653996,0.0004696289,0.0002445382],"category_scores_gemma":[0.0007276911,0.0002960466,0.00005186951,0.000268505,0.0005165658,0.00004921009,0.0000544118,0.0004331344,0.000008097171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004057,"about_ca_system_score_gemma":0.00003059563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212696,"about_ca_topic_score_gemma":0.0008134785,"domain_scores_codex":[0.9980406,0.0001045261,0.0008734915,0.0003596231,0.0002624455,0.0003592993],"domain_scores_gemma":[0.9987546,0.000432304,0.0001928841,0.0004628465,0.00006545724,0.0000918604],"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":[0.0001421826,0.0006376148,0.01797992,0.01874859,0.0001140905,0.0000254991,0.002261874,0.007792004,0.00002337577,0.283323,0.6289477,0.04000414],"study_design_scores_gemma":[0.001182608,0.0001294058,0.04190652,0.001100974,0.00006232237,0.000003621021,0.0003913501,0.004097582,0.00001715176,0.06901973,0.880779,0.001309788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001052694,0.001227476,0.1693557,0.00005865771,0.001050688,0.0006706434,0.001425122,0.0002726621,0.8248864],"genre_scores_gemma":[0.01429267,0.2134989,0.4459996,0.0002676411,0.0008452447,0.0001563041,0.0008913948,0.001301174,0.3227471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5021393,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066407379303127,"score_gpt":0.2700272141882417,"score_spread":0.2593631403952105,"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."}}