{"id":"W3022791460","doi":"10.1111/j.1467-9396.2006.00594.x","title":"The Division and Size of Gains from Liberalization in Service Networks*","year":2006,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Liberalization; Tariff; Economics; Free trade; International economics; Network effect; Per capita; Externality; Goods and services; International trade; Service (business); Trade in services; Microeconomics; Economy; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002671971,0.0002568497,0.000317026,0.001450756,0.0006365312,0.003112613,0.0003837572,0.0008415619,0.007404156],"category_scores_gemma":[0.01174442,0.0001577383,0.000491373,0.00169659,0.003136434,0.004043605,0.002330454,0.001162587,0.0003195014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229058,"about_ca_system_score_gemma":0.0007806757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546975,"about_ca_topic_score_gemma":0.001986247,"domain_scores_codex":[0.9981445,0.0008700118,0.00005700015,0.0001853255,0.0003857454,0.0003573517],"domain_scores_gemma":[0.991213,0.005025618,0.001619185,0.0008714304,0.0008462585,0.0004245061],"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":[0.0006588628,0.0001874374,0.03696346,0.0002553431,0.0002660727,0.0003983475,0.0007683067,0.06534223,0.004951979,0.7649965,0.002832923,0.1223785],"study_design_scores_gemma":[0.0001072275,0.0002129911,0.09538167,0.0001836641,0.0002630064,0.0005946831,0.002415094,0.04436092,0.005731873,0.8312678,0.01942963,0.00005142105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767708,0.00179472,0.0200403,0.003137177,0.00007715582,0.00006166382,0.0002172457,0.00007939409,0.1978215],"genre_scores_gemma":[0.9985204,0.00021176,0.0004049024,0.0000476743,0.00001612186,0.000005849586,0.00001403138,0.00000327076,0.0007761162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007404156,"threshold_uncertainty_score":0.02476937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008807794047727656,"score_gpt":0.2033916224705201,"score_spread":0.1945838284227924,"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."}}