{"id":"W1541257362","doi":"10.1016/j.jmateco.2016.01.003","title":"Volume of trade and dynamic network formation in two-sided economies","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stylized fact; Pairwise comparison; Economics; Matching (statistics); Population; Shock (circulatory); Stability (learning theory); Microeconomics; Econometrics; Economy; Computer science; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110552,0.0003595709,0.0009822976,0.001496276,0.0007824723,0.004249255,0.001540185,0.001964584,0.007049258],"category_scores_gemma":[0.01723431,0.0005630696,0.000543125,0.00130679,0.002462835,0.006222946,0.001820069,0.00106668,0.0004056211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411163,"about_ca_system_score_gemma":0.0004470499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007134288,"about_ca_topic_score_gemma":0.0008976622,"domain_scores_codex":[0.9990727,0.0004220718,0.00004464729,0.0001453769,0.000179221,0.0001359217],"domain_scores_gemma":[0.9785993,0.01556681,0.002959365,0.0008566526,0.0006891483,0.00132881],"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":[0.0005070654,0.0001758846,0.006571483,0.000171115,0.000111046,0.0004796321,0.0005395719,0.3747595,0.002284844,0.5885783,0.002446848,0.02337483],"study_design_scores_gemma":[0.00004625485,0.0001090137,0.002654486,0.00003813437,0.00003628349,0.0002247368,0.0002812262,0.3363351,0.0005282522,0.6582108,0.001496167,0.00003947094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279613,0.001247807,0.1375697,0.002287133,0.0001476742,0.00005226658,0.0003497853,0.0001442703,0.03024003],"genre_scores_gemma":[0.9928796,0.0003215426,0.003271665,0.00003872075,0.00006757406,0.00001970328,0.00004779077,0.00001720929,0.003336281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007049258,"threshold_uncertainty_score":0.02358216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488738288953534,"score_gpt":0.3321596460919777,"score_spread":0.2872722632024423,"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."}}