{"id":"W2493963530","doi":"10.1007/b138793","title":"Advances in Ranking and Selection, Multiple Comparisons, and Reliability","year":2005,"lang":"en","type":"book","venue":"Birkhäuser Boston eBooks","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ranking (information retrieval); Selection (genetic algorithm); Reliability (semiconductor); Computer science; Statistics; Reliability engineering; Machine learning; Mathematics; Engineering","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":[0.00453977,0.0006872829,0.001377398,0.001230087,0.0003604393,0.000666172,0.0008155516,0.0006306545,0.0002057904],"category_scores_gemma":[0.003145524,0.0005913886,0.0001622683,0.0002309621,0.0004915488,0.0005663708,0.000651702,0.0009412807,0.00009604731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865565,"about_ca_system_score_gemma":0.0003373669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006532592,"about_ca_topic_score_gemma":0.002379316,"domain_scores_codex":[0.9929866,0.0005083519,0.002042726,0.001983294,0.001870305,0.0006087479],"domain_scores_gemma":[0.9932929,0.004212313,0.0008595897,0.0008991366,0.000462694,0.0002733921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006461261,0.0001200582,0.08107826,0.0001525741,0.00002725867,0.00005920905,0.002383637,0.0002621333,0.0002632609,0.002589,0.03945305,0.8729655],"study_design_scores_gemma":[0.001509602,0.00006326174,0.0156,0.0003569055,0.00002618334,0.00005726221,0.0001433983,0.004991696,0.00005528608,0.02456654,0.9519214,0.0007084672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1230636,0.02883011,0.01639398,0.0008840503,0.003210767,0.006001499,0.0003047473,0.0008973612,0.8204139],"genre_scores_gemma":[0.3349087,0.001324789,0.03835865,0.001000348,0.001088611,0.0001649776,0.00002654124,0.0003042564,0.6228231],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9124684,"threshold_uncertainty_score":0.9996538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08085539091591783,"score_gpt":0.3818286481062834,"score_spread":0.3009732571903656,"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."}}