{"id":"W330367180","doi":"10.1016/j.ins.2015.05.011","title":"An ordinal ranking criterion for the subjective evaluation of alternatives and exchange reliability","year":2015,"lang":"en","type":"article","venue":"Information Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Ranking (information retrieval); Computer science; Decision maker; Reliability (semiconductor); Preference; Perception; Set (abstract data type); Normative; Choice set; Machine learning; Artificial intelligence; Data mining; Econometrics; Mathematics; Operations research; Statistics; Psychology","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":[0.02614866,0.001021765,0.001335977,0.01128571,0.001238927,0.004597478,0.001502028,0.001645202,0.005024715],"category_scores_gemma":[0.1374594,0.0003038429,0.001394413,0.006344141,0.003069716,0.005447533,0.00277017,0.001892093,0.0005671448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023504,"about_ca_system_score_gemma":0.001537881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201732,"about_ca_topic_score_gemma":0.001249215,"domain_scores_codex":[0.9672763,0.01811622,0.002855497,0.001318185,0.009629687,0.0008041022],"domain_scores_gemma":[0.8778376,0.08900294,0.007375282,0.006953424,0.01653922,0.002291564],"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":[0.001122939,0.000488193,0.03002252,0.00111088,0.0007055767,0.0003961459,0.00214957,0.06041582,0.005679361,0.5999116,0.008972502,0.2890249],"study_design_scores_gemma":[0.0001468148,0.001152814,0.02551517,0.0004606945,0.0002433854,0.0006003683,0.001659762,0.3872717,0.002533531,0.5716255,0.008452258,0.0003380184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1179478,0.0009863046,0.8623127,0.001005434,0.0001976375,0.0004206178,0.001089035,0.0001934214,0.01584709],"genre_scores_gemma":[0.7406691,0.0003148547,0.2553826,0.0001054678,0.0002391531,0.0005574031,0.0007773967,0.00006265088,0.001891468],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02614866,"threshold_uncertainty_score":0.138289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3325995103837346,"score_gpt":0.3359485657271087,"score_spread":0.003349055343374041,"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."}}