{"id":"W4297826820","doi":"10.1287/mksc.2022.1382","title":"Browse or Experience","year":2022,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Marketing; Business; Computer science; Advertising; Industrial organization","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003952046,0.0001144746,0.0001015723,0.000326569,0.001981824,0.0004751473,0.0009087681,0.000009945585,0.005908389],"category_scores_gemma":[0.001045267,0.000102645,0.00003758928,0.002383842,0.0002633367,0.001051386,0.001298478,0.000168471,0.00005542188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005746917,"about_ca_system_score_gemma":0.00008672631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002959828,"about_ca_topic_score_gemma":0.00002425776,"domain_scores_codex":[0.9981737,0.00003084666,0.0001889604,0.000435376,0.0007289402,0.0004421794],"domain_scores_gemma":[0.9993146,0.0001516709,0.0001221703,0.0003113099,0.00008227763,0.00001794831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005709197,0.0001567947,0.70794,0.00009671104,0.0000041539,0.000142827,0.0008416479,0.0001070682,0.0248565,0.001831945,0.005847246,0.2576042],"study_design_scores_gemma":[0.0004604491,0.00001466856,0.5696837,0.0000358615,0.00002517954,0.0000483003,0.004238154,0.008659206,0.0001650088,0.0001459495,0.4158944,0.000629192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250597,0.00002844657,0.00003316419,0.0003066199,0.0008342979,0.0001259141,7.799364e-7,0.0001628397,0.07344827],"genre_scores_gemma":[0.9964314,0.000001165964,0.0002157909,0.001303312,0.0001580667,0.00005722954,0.000001132519,0.00001202282,0.001819933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100471,"threshold_uncertainty_score":0.9993175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842169046585921,"score_gpt":0.2644112958888424,"score_spread":0.2359896054229832,"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."}}