{"id":"W4313262202","doi":"10.2139/ssrn.4308400","title":"Where Does Advertising Content Lead You? We Created a Bookstore to Find Out","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Games and Media","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Advertising; Content (measure theory); Business; Mathematics","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":[0.0009075134,0.0004909105,0.0005727491,0.003869023,0.002740703,0.007336601,0.0005376283,0.001637427,0.09840513],"category_scores_gemma":[0.007419968,0.00041081,0.0004488125,0.003612325,0.0006540456,0.004397344,0.001021253,0.001878483,0.05306898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009480953,"about_ca_system_score_gemma":0.001711224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005132745,"about_ca_topic_score_gemma":0.01788964,"domain_scores_codex":[0.9993188,0.0001278033,0.00005851208,0.0000792049,0.00032796,0.00008774995],"domain_scores_gemma":[0.9944487,0.002254296,0.0004253589,0.0002066739,0.001775366,0.0008896034],"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":[0.00003597705,0.00006449471,0.003534285,0.0002408007,0.00001624549,0.0003732172,0.0008693833,0.00006950369,0.0005937387,0.004493257,0.8453032,0.144406],"study_design_scores_gemma":[0.000006928085,0.00002860746,0.00366077,0.0002274557,0.00002022768,0.0002785243,0.001580091,0.0001906927,0.0005960024,0.001795727,0.9915781,0.00003679662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03275436,0.02862918,0.007254716,0.1318058,0.02334012,0.0003090131,0.01089841,0.004582097,0.7604264],"genre_scores_gemma":[0.0694001,0.02061599,0.01216407,0.02512215,0.009067094,0.0001973802,0.004982854,0.003199142,0.8552513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09840513,"threshold_uncertainty_score":0.3291979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211053560019484,"score_gpt":0.2761818046366568,"score_spread":0.254071269036462,"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."}}