{"id":"W2127723114","doi":"10.3386/w16564","title":"Exclusionary Minimum Resale Price Maintenance","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Resale price maintenance; Business; Economics; Microeconomics; Computer science; 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":[0.001574202,0.000434002,0.0007651913,0.0006145868,0.001040643,0.001818357,0.00223117,0.0012484,0.01874034],"category_scores_gemma":[0.007427757,0.0003440965,0.0008568761,0.0006914486,0.000996649,0.00288158,0.001915533,0.001137996,0.002159742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009583516,"about_ca_system_score_gemma":0.001209161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244804,"about_ca_topic_score_gemma":0.004296884,"domain_scores_codex":[0.9974999,0.0004969528,0.0001687918,0.0003566082,0.0008034375,0.0006742932],"domain_scores_gemma":[0.9910654,0.002443676,0.00251742,0.002607169,0.001008304,0.0003578714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002562911,0.001666174,0.05980267,0.000744395,0.0002805065,0.004313172,0.001190752,0.06042937,0.03654912,0.5152536,0.03406415,0.2831432],"study_design_scores_gemma":[0.0008946329,0.003460751,0.1299045,0.0003148175,0.0005129709,0.009158427,0.001388354,0.2805501,0.05693474,0.3288591,0.1875046,0.0005170667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7138621,0.0006269008,0.09226386,0.001303285,0.0001480727,0.0002515996,0.0009574263,0.0009050162,0.1896818],"genre_scores_gemma":[0.9811367,0.00009430172,0.006583613,0.0001048299,0.00005017434,0.00003093443,0.0002730757,0.00002682457,0.01169959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874034,"threshold_uncertainty_score":0.06269264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3044887333387372,"score_gpt":0.4544150709262663,"score_spread":0.149926337587529,"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."}}