{"id":"W4416643054","doi":"10.1016/j.orl.2025.107396","title":"The Condorcet dimension of metric spaces","year":2025,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Condorcet method; Metric space; Dimension (graph theory); Norm (philosophy); Cardinality (data modeling); Metric (unit)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003415047,0.00005222792,0.0001371253,0.0005100801,0.000532946,0.0002532195,0.0002493553,0.00003221046,0.00006984825],"category_scores_gemma":[0.0007804548,0.00004195558,0.00004746345,0.001035675,0.0001995566,0.0001291778,0.0000530469,0.0001776857,0.0001296166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005614967,"about_ca_system_score_gemma":0.00003402862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000435257,"about_ca_topic_score_gemma":0.00004291565,"domain_scores_codex":[0.9990616,0.0001697081,0.0003185905,0.0001775759,0.00006133178,0.0002111655],"domain_scores_gemma":[0.9988375,0.0007369356,0.0000239114,0.000307002,0.00007075065,0.00002388016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007622166,0.00001749242,0.001626178,0.00002685353,0.00004569843,9.361435e-7,0.0002289513,0.002557418,0.00453578,0.9803051,0.01009916,0.0005488231],"study_design_scores_gemma":[0.001318367,0.0002204992,0.01523972,0.0003371459,0.00001178914,0.000005092139,0.001953909,0.1002835,0.01368473,0.01536863,0.8510869,0.0004897323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439565,0.004289987,0.007338629,0.01950059,0.0005631851,0.0004570819,0.00003223228,0.00002714342,0.02383464],"genre_scores_gemma":[0.9936005,0.0001349454,0.0001055557,0.000146865,0.00003590169,0.00003616138,0.000004654558,0.000005439706,0.005929944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9649364,"threshold_uncertainty_score":0.4099044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06138019862092552,"score_gpt":0.3275535329859491,"score_spread":0.2661733343650236,"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."}}