{"id":"W1982948573","doi":"","title":"Complementarities, Multiplicity, and Supply Information","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Stochastic game; Economics; Private information retrieval; Complementarity (molecular biology); Microeconomics; Stock market; Financial market; Supply and demand; Financial economics; Finance; Computer science","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":[0.0007043112,0.00009408336,0.0001900012,0.0001194571,0.0002898439,0.00005475404,0.000126227,0.00004081626,0.0001223012],"category_scores_gemma":[0.0000165636,0.0001078527,0.0000536071,0.00004096869,0.00005536287,0.0007220061,0.00004512918,0.0004762384,0.000104065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015905,"about_ca_system_score_gemma":0.0001513452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006256375,"about_ca_topic_score_gemma":0.0003652391,"domain_scores_codex":[0.9985398,0.000006554981,0.0004372495,0.0001039941,0.0000198887,0.0008924955],"domain_scores_gemma":[0.9995914,0.00001694925,0.0002177822,0.0000971538,0.00001766921,0.00005908106],"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":[0.00001258337,0.00001138438,0.03315644,0.000002696607,0.00004289421,3.752877e-7,0.0005185275,0.0000229096,0.000001194391,0.9645203,0.0002508615,0.001459825],"study_design_scores_gemma":[0.001150199,0.0001357632,0.007952187,0.000003521492,0.000003304308,0.0005572346,0.001128397,0.0007119328,0.000008253335,0.9240198,0.06413525,0.0001941933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677782,0.003117959,0.01901966,0.0008641605,0.0002293272,0.0001209568,0.00007583977,0.0000222257,0.008771668],"genre_scores_gemma":[0.9895818,0.00902575,0.0002354646,0.0002871854,0.0001026681,0.000003788901,0.00001608736,0.000008678948,0.0007385872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06388438,"threshold_uncertainty_score":0.4398106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751310798120531,"score_gpt":0.1879370639404394,"score_spread":0.1704239559592341,"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."}}