{"id":"W2026213374","doi":"10.1016/j.amc.2005.11.109","title":"Strength of preference in graph models for multiple-decision-maker conflicts","year":2006,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Graph; Decision maker; Revealed preference; Representation (politics); Mathematical economics; Mathematics; Context (archaeology); Computer science; Econometrics; Theoretical computer science; Operations research; Statistics; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000762267,0.00009338222,0.000227142,0.000155495,0.00005879901,0.00005375242,0.000162645,0.00004960255,0.000005999585],"category_scores_gemma":[0.0001186806,0.00007417638,0.00003667836,0.00030894,0.00006314043,0.00007574511,0.00003858514,0.00004188799,0.000005625984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005326793,"about_ca_system_score_gemma":0.00001268819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008556021,"about_ca_topic_score_gemma":0.00002841631,"domain_scores_codex":[0.9987397,0.00001004447,0.0005985113,0.000234889,0.0003087819,0.0001080394],"domain_scores_gemma":[0.9963103,0.003079053,0.0002580718,0.0001928428,0.0001312091,0.00002854309],"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":[0.0000248562,0.0001951837,0.0000409591,0.00002252414,0.000003115372,8.033047e-8,0.0007620733,0.04961361,0.001453688,0.8984468,0.0001006535,0.04933647],"study_design_scores_gemma":[0.0003732624,0.00001269946,0.0006208381,0.00001407944,0.000004364719,4.726544e-7,0.0002880163,0.3107829,0.0005071705,0.6872811,0.00006043494,0.000054642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4640175,0.0000127591,0.5336329,0.00001907963,0.000009659591,0.000315168,0.00001276115,0.000009430737,0.001970766],"genre_scores_gemma":[0.8733752,0.000003054861,0.1264811,0.00001277923,0.000009041518,0.00007667336,0.000009733463,0.000006280664,0.00002609963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4093578,"threshold_uncertainty_score":0.3024825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100702428146167,"score_gpt":0.342261143958738,"score_spread":0.2321909011441213,"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."}}