{"id":"W2168789360","doi":"10.1287/mksc.1090.0486","title":"Information Provision in a Vertically Differentiated Competitive Marketplace","year":2009,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Quality (philosophy); Monopoly; Competition (biology); Preference; Product (mathematics); Business; Microeconomics; Marketing; Product differentiation; Economics; Industrial organization; Private information retrieval; Strategic complements; Computer science; Cournot competition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003100261,0.0001368711,0.0001356693,0.0005777481,0.0002647766,0.0006697279,0.0003709975,0.00003607023,0.0001859175],"category_scores_gemma":[0.001585917,0.0001257567,0.00003227161,0.001598234,0.0001233745,0.00304383,0.0001601499,0.0001608058,0.00008356932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006086983,"about_ca_system_score_gemma":0.00005183376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001057462,"about_ca_topic_score_gemma":0.00003727902,"domain_scores_codex":[0.998557,0.00003319523,0.0003113139,0.0002159666,0.0004722282,0.0004103417],"domain_scores_gemma":[0.9993507,0.0001321773,0.0001250976,0.0001849161,0.0001872083,0.00001990068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007596503,0.0001851677,0.4714552,0.0001240265,0.000002757114,0.00001316165,0.0003147685,0.00001970271,0.01179952,0.007667934,0.0004430966,0.507215],"study_design_scores_gemma":[0.0003985909,0.000007686583,0.9843517,0.0001580577,0.000008822695,0.000001523442,0.000211828,0.01205053,0.0000557604,0.0002034429,0.002370547,0.0001815271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915337,0.000009122768,0.0001658597,0.0006635411,0.0001800149,0.0002310445,4.512633e-7,0.0001134508,0.1071028],"genre_scores_gemma":[0.9988091,0.000002454627,0.0001864499,0.0008912503,0.00004476187,0.000005107917,0.000005967438,0.000004240385,0.0000506929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128965,"threshold_uncertainty_score":0.6458201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007520381268386825,"score_gpt":0.2246920262876693,"score_spread":0.2171716450192825,"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."}}