{"id":"W4321785381","doi":"10.5772/intechopen.109992","title":"Decoupling of Attributes and Aggregation for Fuzzy Number Ranking","year":2023,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Intuition; Axiom; Mathematics; Data mining; Ranking (information retrieval); Fuzzy logic; Computer science; Artificial intelligence","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":[0.002957236,0.0009595983,0.0008074863,0.001731235,0.0007860467,0.00363253,0.0008874759,0.000748576,0.004444584],"category_scores_gemma":[0.003784361,0.0003599181,0.001068935,0.002782457,0.002595203,0.005247715,0.001506796,0.002737304,0.001533478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741375,"about_ca_system_score_gemma":0.001019781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005622826,"about_ca_topic_score_gemma":0.0008027075,"domain_scores_codex":[0.9972578,0.001014602,0.0001572933,0.0002815037,0.001204916,0.00008395765],"domain_scores_gemma":[0.9987464,0.0007159854,0.0000904156,0.0002070459,0.0001996798,0.00004054932],"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":[0.000009958871,0.00001155413,0.00007674324,0.0001470311,0.0000108031,0.00003987626,0.0001459097,0.004169396,0.000609263,0.9333809,0.002554023,0.05884459],"study_design_scores_gemma":[0.000005092552,0.00002665051,0.0001872227,0.0001142062,0.00001519535,0.0001397461,0.00006813285,0.02456141,0.00081047,0.916355,0.05769122,0.00002564119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004211105,0.005319139,0.8773727,0.001249737,0.0005533089,0.0001026782,0.00009989567,0.00018031,0.1109111],"genre_scores_gemma":[0.1522893,0.006890755,0.813939,0.0004823203,0.000669762,0.0002250665,0.0002113223,0.000128152,0.02516424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004444584,"threshold_uncertainty_score":0.01563954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422710110538305,"score_gpt":0.4247380400217858,"score_spread":0.1824670289679553,"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."}}