{"id":"W1722412788","doi":"10.1111/j.1467-9396.2011.00955.x","title":"Forming Efficient Free‐Trade Networks: A Sequential Mechanism","year":2011,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Subgame perfect equilibrium; Economics; Outcome (game theory); Free trade; Markov perfect equilibrium; Mechanism (biology); Mathematical economics; Subgame; Network formation; International trade; Microeconomics; Computer science; Repeated game; Nash equilibrium; Game theory; Equilibrium selection; Physics","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":[0.00260615,0.0005128835,0.0006966508,0.0006931597,0.0008689674,0.001404515,0.00148984,0.001392741,0.005149573],"category_scores_gemma":[0.004759964,0.0003774912,0.0007186613,0.0006769668,0.001879931,0.002609145,0.001806597,0.0006946583,0.0004443721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007608036,"about_ca_system_score_gemma":0.001113018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006246179,"about_ca_topic_score_gemma":0.0005405675,"domain_scores_codex":[0.9979612,0.001108083,0.00008929759,0.0003532998,0.0003261645,0.0001618683],"domain_scores_gemma":[0.9965433,0.001741802,0.0006756135,0.0005039172,0.0002686766,0.0002666608],"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":[0.0001349381,0.0001542621,0.0006866652,0.0001921527,0.00007825918,0.0002746243,0.0002634317,0.1385548,0.006544867,0.8296968,0.001584326,0.02183475],"study_design_scores_gemma":[0.0001976088,0.0001417471,0.0003323187,0.00003993534,0.0000413331,0.0001961021,0.00009154771,0.363842,0.003228039,0.6233732,0.008487285,0.00002890429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283685,0.0002203008,0.8438261,0.001012652,0.0000994615,0.0003810517,0.0001035788,0.0001891264,0.02579926],"genre_scores_gemma":[0.8733836,0.0003447368,0.1176208,0.0001468883,0.00005445458,0.0004752443,0.00009194326,0.00002898226,0.007853299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005149573,"threshold_uncertainty_score":0.01722705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112312417575699,"score_gpt":0.3514827136920557,"score_spread":0.2402514719344858,"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."}}