{"id":"W2546088846","doi":"10.3386/w22771","title":"Vertical Information Restraints: Pro- and Anti-Competitive Impacts of Minimum Advertised Price Restrictions","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"","keywords":"Vertical restraints; Business; Industrial organization; Microeconomics; Economics; Incentive","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":[0.002139908,0.0008259817,0.000945071,0.0009340027,0.001224961,0.004219671,0.001540239,0.002828663,0.01733487],"category_scores_gemma":[0.01215441,0.0004256614,0.001238337,0.001116133,0.003712979,0.004594243,0.003127503,0.002657578,0.0006930214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117051,"about_ca_system_score_gemma":0.0027379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007455289,"about_ca_topic_score_gemma":0.004348982,"domain_scores_codex":[0.9975851,0.00067412,0.00009535348,0.000224951,0.0005739303,0.0008465218],"domain_scores_gemma":[0.9847782,0.007875437,0.00412183,0.001190118,0.001126842,0.0009074723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007530859,0.001060222,0.01043856,0.0005036777,0.0001697517,0.0008356671,0.0004606688,0.06513149,0.005454777,0.8755347,0.004910124,0.03474727],"study_design_scores_gemma":[0.0006024943,0.001706855,0.01976205,0.0004585476,0.0006530544,0.000698083,0.003198147,0.1877376,0.006029196,0.7567874,0.02216618,0.0002003277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6798431,0.00165411,0.03871062,0.006257067,0.000204787,0.0003255817,0.001090693,0.0001441307,0.2717699],"genre_scores_gemma":[0.9939221,0.000300978,0.001752761,0.0002268208,0.00005546075,0.00004989205,0.00005560417,0.000009472276,0.003626968],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01733487,"threshold_uncertainty_score":0.05799097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523280603894796,"score_gpt":0.4011281157202577,"score_spread":0.2488000553307782,"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."}}