{"id":"W2965766684","doi":"10.3982/te4782","title":"Value‐based distance between information structures","year":2022,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Sequence (biology); Information structure; Countable set; Value (mathematics); Mathematics; Convergence (economics); Zero (linguistics); Space (punctuation); Computer science; Relation (database); Theoretical computer science; Discrete mathematics; Data mining; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007499006,0.0008424837,0.00124739,0.003688375,0.001480121,0.005839224,0.002582589,0.002513525,0.004094668],"category_scores_gemma":[0.04547557,0.0005742052,0.001106507,0.002083305,0.006474792,0.01285469,0.005384685,0.003316605,0.0008040388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00276914,"about_ca_system_score_gemma":0.001441961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006302482,"about_ca_topic_score_gemma":0.0003088073,"domain_scores_codex":[0.9890568,0.003817565,0.0008241906,0.002011089,0.00342687,0.0008634623],"domain_scores_gemma":[0.9654415,0.02382869,0.00306514,0.003177072,0.002875789,0.001611817],"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":[0.00006046808,0.00003722088,0.000634688,0.00008320865,0.00003840958,0.0000683493,0.000318864,0.009977486,0.0007269645,0.976135,0.0003431904,0.0115762],"study_design_scores_gemma":[0.00001331734,0.00005304467,0.000212949,0.00002703578,0.00001038315,0.00006920572,0.00008311858,0.01838129,0.0004586175,0.9791504,0.001522406,0.00001828412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489563,0.00134908,0.8058072,0.003083791,0.0001318327,0.0002236561,0.0006079527,0.000184045,0.03965606],"genre_scores_gemma":[0.8766223,0.0006302026,0.1180884,0.0003245041,0.0001113342,0.000376096,0.0003544918,0.00005792693,0.003434863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007499006,"threshold_uncertainty_score":0.03965902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070181745563912,"score_gpt":0.3246616254124349,"score_spread":0.2839598079567958,"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."}}