{"id":"W3110037985","doi":"10.1287/mksc.2022.1376","title":"Search, Showrooming, and Retailer Variety","year":2022,"lang":"en","type":"preprint","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Marketing; Product (mathematics); Business; Imperfect; Advertising; TRACE (psycholinguistics); Commerce; Economics; Computer science","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":[0.0003883814,0.0001906097,0.0004223361,0.0008247646,0.0008039541,0.002738547,0.0003792126,0.0008795417,0.02455422],"category_scores_gemma":[0.00474656,0.0002184269,0.0003607924,0.001346795,0.00145728,0.00237778,0.001047785,0.000754831,0.001161107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008885683,"about_ca_system_score_gemma":0.0003591359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007177989,"about_ca_topic_score_gemma":0.01053362,"domain_scores_codex":[0.9996556,0.00009234894,0.00001428599,0.00007067706,0.000072512,0.00009456905],"domain_scores_gemma":[0.9961282,0.001620212,0.0009769595,0.0003064798,0.0002405739,0.0007275433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006042468,0.001617761,0.3941658,0.0007672124,0.0005158346,0.002133369,0.006544699,0.01622241,0.01087472,0.3335463,0.03392989,0.1936396],"study_design_scores_gemma":[0.0002214908,0.0006388953,0.7253078,0.0001565726,0.0003544963,0.001677404,0.0122759,0.01501737,0.002122042,0.2183048,0.02377658,0.0001467091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946524,0.002522965,0.002406131,0.001599285,0.00003544279,0.0000188919,0.0003399271,0.00004823853,0.09837683],"genre_scores_gemma":[0.9930628,0.0003015417,0.0001911701,0.0000635039,0.00001981193,0.000003195883,0.00009369644,0.00001127393,0.006253081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02455422,"threshold_uncertainty_score":0.08214206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108031534420233,"score_gpt":0.2667279892416726,"score_spread":0.2356476738974703,"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."}}