{"id":"W2591697403","doi":"10.1016/j.ijar.2017.04.005","title":"On normalization of inconsistency indicators in pairwise comparisons","year":2017,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Laurentian University","funders":"Ministerstwo Edukacji i Nauki; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Normalization (sociology); Pairwise comparison; Mathematics; Computer science; Econometrics; Statistics; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006002415,0.00008823792,0.0002060559,0.0005441366,0.00007954625,0.000189427,0.001580127,0.00004549609,0.000007553008],"category_scores_gemma":[0.0003138994,0.00007259011,0.00008533129,0.0001239545,0.00005927982,0.0006518668,0.0001993542,0.0001732296,0.000002340479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007120109,"about_ca_system_score_gemma":0.00008635171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024315,"about_ca_topic_score_gemma":0.000006020235,"domain_scores_codex":[0.998718,0.00003817417,0.0004967569,0.0001190562,0.0005059971,0.0001219948],"domain_scores_gemma":[0.9981906,0.00007050671,0.001211754,0.0002645294,0.0002076171,0.0000549854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001484869,0.0005718884,0.3314483,0.00002478963,0.0001461878,0.0002887895,0.001618458,0.00382406,0.0001815762,0.5982187,0.0004562052,0.06307252],"study_design_scores_gemma":[0.004280375,0.000642891,0.6640977,0.002128365,0.00002752784,0.0004498604,0.0002975693,0.2889433,0.003683045,0.0335188,0.001411998,0.0005186493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.812092,0.0001382027,0.160961,0.001569802,0.0014315,0.0001124041,0.000005149086,0.000019892,0.02367005],"genre_scores_gemma":[0.9629548,0.00005518531,0.03686411,0.00005372859,0.00005847538,0.000001100571,0.000001208437,0.000004690107,0.000006693108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5646999,"threshold_uncertainty_score":0.2960139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810864377255716,"score_gpt":0.2893690540260443,"score_spread":0.2712604102534872,"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."}}