{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002316614,0.0004658246,0.0004135068,0.001362008,0.0005812927,0.002375504,0.0004545379,0.000956144,0.4611697],"category_scores_gemma":[0.001740366,0.0001287731,0.0003863068,0.001076602,0.0002832589,0.004168302,0.001718862,0.0006531262,0.1684546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203642,"about_ca_system_score_gemma":0.0003084692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901336,"about_ca_topic_score_gemma":0.005006444,"domain_scores_codex":[0.9998133,0.0000193972,0.000007471002,0.00003795597,0.0000734999,0.00004834531],"domain_scores_gemma":[0.9991442,0.00020127,0.0000610959,0.0001569361,0.0001534408,0.0002830963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004273174,0.0002607455,0.008795478,0.0008495133,0.00005023434,0.001504585,0.002055525,0.0001885753,0.009763461,0.02274717,0.5241765,0.4291809],"study_design_scores_gemma":[0.00002119412,0.0001298297,0.008099799,0.0001624889,0.00002456428,0.001113886,0.0008072734,0.0002384541,0.001054579,0.005111086,0.9832078,0.00002902703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03844779,0.003847728,0.003234294,0.002574469,0.001161881,0.0001386472,0.005538146,0.002159856,0.9428971],"genre_scores_gemma":[0.09824818,0.003080773,0.002622792,0.002678165,0.001096416,0.00006616065,0.004126955,0.0005447005,0.8875358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4611697,"threshold_uncertainty_score":0.7685761,"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."}}