{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01179889,0.0003132412,0.0002989793,0.0006025894,0.001381009,0.00191228,0.001187887,0.00009385039,0.002461973],"category_scores_gemma":[0.00117688,0.000324105,0.00009438617,0.001023486,0.0005861355,0.0007149687,0.009210202,0.001035689,0.000021459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000955986,"about_ca_system_score_gemma":0.0002138402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269615,"about_ca_topic_score_gemma":0.00003392133,"domain_scores_codex":[0.9967865,0.00007766257,0.0003412032,0.001130649,0.001013184,0.0006507824],"domain_scores_gemma":[0.998562,0.0002636015,0.0002515053,0.0006846843,0.0001996323,0.00003853938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039783,0.00005245541,0.907419,0.001099381,0.00001733485,0.00004644452,0.0002816691,0.0001162361,0.00122419,0.0009144425,0.002141033,0.08658388],"study_design_scores_gemma":[0.0002451699,0.000004724254,0.9039227,0.0002428757,0.0001243248,0.000008878359,0.0005622939,0.01872823,0.00002970202,0.0005112605,0.07477346,0.0008463782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834205,0.0002361118,0.00007098035,0.0005100511,0.001366932,0.0003569697,0.000005281199,0.0002156461,0.1138175],"genre_scores_gemma":[0.9970978,0.00003596742,0.0007043079,0.0006125639,0.0004009636,0.0000431665,0.00001461976,0.00003717623,0.001053387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136773,"threshold_uncertainty_score":0.9999211,"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."}}