{"id":"W2277377986","doi":"10.1007/978-3-662-49619-0_1","title":"Pairwise Comparisons Rating Scale Paradox","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Pairwise comparison; Normalization (sociology); Computer science; Rating scale; Scale (ratio); Statistics; Data mining; Artificial intelligence; Mathematics; Cartography","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":[0.01863105,0.0009181896,0.001368448,0.001861204,0.001656466,0.003941842,0.002290301,0.002746785,0.01625039],"category_scores_gemma":[0.1199106,0.0004088561,0.001068296,0.002017016,0.004960623,0.00843185,0.003746002,0.005224984,0.001790556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748523,"about_ca_system_score_gemma":0.001087593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832543,"about_ca_topic_score_gemma":0.0003146308,"domain_scores_codex":[0.9776058,0.01305897,0.0009755635,0.001514444,0.006445958,0.0003993677],"domain_scores_gemma":[0.9366658,0.04886615,0.00175431,0.006713227,0.005030368,0.0009701971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001402847,0.00008010503,0.0003410584,0.0001445439,0.00005548236,0.000136204,0.0003817973,0.001237677,0.0007059819,0.9224273,0.009951564,0.06439812],"study_design_scores_gemma":[0.0000400344,0.00004029067,0.0003354839,0.00003925542,0.00002022026,0.0002052545,0.0001574185,0.005533244,0.0003860139,0.9864089,0.006813335,0.00002037337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.09398378,0.004781749,0.4255486,0.02353415,0.00251447,0.000456487,0.0005409107,0.0005314465,0.4481084],"genre_scores_gemma":[0.8595238,0.001122115,0.1050695,0.00245631,0.0006814566,0.0005632089,0.0002620255,0.0001402576,0.03018137],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01863105,"threshold_uncertainty_score":0.0985316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199627276009009,"score_gpt":0.3812480764788608,"score_spread":0.2612853488779599,"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."}}