{"id":"W3099747567","doi":"","title":"APPROXIMATING A BEHAVIOURAL PSEUDOMETRIC WITHOUT DISCOUNT FOR PROBABILISTIC SYSTEMS ∗","year":2007,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); York University","funders":"","keywords":"Probabilistic logic; Mathematics; Discounting; Extension (predicate logic); Duality (order theory); Dual (grammatical number); Mathematical economics; Interval (graph theory); Order (exchange); Zero (linguistics); Factor (programming language); Discrete mathematics; Mathematical optimization; Applied mathematics; Computer science; Combinatorics; Statistics; Economics; Finance","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":[0.004461249,0.0001813542,0.0004994067,0.0003944709,0.0001597472,0.0001502712,0.0002257134,0.0001041624,0.00004341611],"category_scores_gemma":[0.0005893406,0.0001746949,0.0001323957,0.0004433761,0.00004968528,0.0001704886,0.00003213333,0.0001081645,0.0001680568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434542,"about_ca_system_score_gemma":0.00001034026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000335509,"about_ca_topic_score_gemma":0.0000209994,"domain_scores_codex":[0.9979172,0.00001550599,0.001106681,0.000412889,0.00004878641,0.0004988848],"domain_scores_gemma":[0.9987327,0.0002793732,0.000517199,0.0003138461,0.0000526973,0.0001041432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002662515,0.00008860735,0.1227935,0.0002424117,0.00002786336,0.000001102089,0.0003171856,0.0001017801,0.00002404751,0.8760399,0.0001027278,0.0002341849],"study_design_scores_gemma":[0.01669173,0.003032905,0.1700048,0.001173578,0.0002905526,0.0005814289,0.01489983,0.382957,0.0009401005,0.3536279,0.04775697,0.008043257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.627163,0.0006275941,0.3344714,0.00004367452,0.001216226,0.001419919,0.0000794721,0.0001609419,0.03481777],"genre_scores_gemma":[0.9901097,0.000001189302,0.003332635,0.00003006813,0.0002208255,0.0001301021,0.00001364487,0.00003735639,0.006124448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5224121,"threshold_uncertainty_score":0.7123851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432503610903576,"score_gpt":0.2634703247237487,"score_spread":0.1891452886147129,"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."}}