{"id":"W2001706241","doi":"10.1109/icsssm.2011.5959466","title":"A case-based distance approach to multiple criteria ranking","year":2011,"lang":"en","type":"article","venue":"","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Ranking (information retrieval); Judgement; Multiple-criteria decision analysis; Preference; Decision maker; Preference elicitation; Computer science; Mathematical optimization; Data mining; Machine learning; Operations research; Artificial intelligence; Mathematics; Statistics","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":[0.006059911,0.001623237,0.001962518,0.006195673,0.001951418,0.003177132,0.003822909,0.002205482,0.01112178],"category_scores_gemma":[0.01558915,0.0005514446,0.001868413,0.005927789,0.002008449,0.003625511,0.004025542,0.003165657,0.002368357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445308,"about_ca_system_score_gemma":0.002799365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152855,"about_ca_topic_score_gemma":0.002210852,"domain_scores_codex":[0.9887096,0.005879082,0.0006312163,0.0006871829,0.003803089,0.0002898818],"domain_scores_gemma":[0.9941947,0.002874392,0.0003684402,0.0006342821,0.001690314,0.0002378847],"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":[0.00003181964,0.0001035187,0.0003673649,0.0003445776,0.0001109131,0.0003344659,0.0003533992,0.1285327,0.001523289,0.6490675,0.005687255,0.2135432],"study_design_scores_gemma":[0.00003686928,0.0001903701,0.0002563348,0.0001304648,0.00004104632,0.0007633378,0.0002075082,0.4526561,0.001495875,0.4966161,0.04748955,0.000116518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004871322,0.0001405302,0.9944798,0.000139813,0.0000580739,0.0001349956,0.00002418282,0.00005600706,0.00447942],"genre_scores_gemma":[0.02630224,0.0002874137,0.9698103,0.00007963309,0.00006073456,0.0004152827,0.00007260875,0.0000488352,0.002922966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01112178,"threshold_uncertainty_score":0.03720605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4487306483647814,"score_gpt":0.4266520472279036,"score_spread":0.02207860113687787,"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."}}