{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0155549,0.002533665,0.002587156,0.00499091,0.000993965,0.004756376,0.002824273,0.002191402,0.01604688],"category_scores_gemma":[0.02903959,0.001013442,0.001782655,0.009602511,0.004511679,0.005799334,0.002143795,0.005001558,0.007826957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307142,"about_ca_system_score_gemma":0.00260733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816339,"about_ca_topic_score_gemma":0.002528908,"domain_scores_codex":[0.9818108,0.01051355,0.0008020121,0.001140361,0.005471806,0.0002615746],"domain_scores_gemma":[0.9679914,0.02756471,0.000596982,0.001027844,0.002651036,0.0001680926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000493603,0.00006344054,0.0004900452,0.00331919,0.0001980644,0.0001330361,0.0004831987,0.008450394,0.0003762558,0.3160136,0.1159203,0.5545031],"study_design_scores_gemma":[0.00001185778,0.00007023524,0.000839889,0.001127262,0.00006073788,0.000301674,0.0001786064,0.008038823,0.0004244247,0.688194,0.3006963,0.00005615911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00121762,0.3602293,0.5241877,0.008537028,0.004044496,0.0002708328,0.0004649503,0.0007148197,0.1003332],"genre_scores_gemma":[0.03136484,0.3232159,0.5803964,0.004309814,0.008314344,0.001216266,0.001037721,0.0006541668,0.04949076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01604688,"threshold_uncertainty_score":0.08226311,"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."}}