{"id":"W1906969382","doi":"10.3968/j.css.1923669720110704.040","title":"Multivariate Analysis of Advertising and Sales in Nigeria","year":2011,"lang":"en","type":"article","venue":"Canadian social science","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Population; Advertising; Humanities; Welfare economics; Marketing; Business; Economics; Sociology; Art; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000463,0.00006068641,0.000133396,0.0007568647,0.0002358758,0.00009476273,0.0001616373,0.0000280163,0.0000544518],"category_scores_gemma":[0.0001387658,0.00006172596,0.00002747007,0.002161313,0.000347994,0.0004834392,0.00003401357,0.00004106631,0.000002718704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004694795,"about_ca_system_score_gemma":0.00009158648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1195453,"about_ca_topic_score_gemma":0.1887751,"domain_scores_codex":[0.9993208,0.000006850655,0.0001298557,0.0001735931,0.0001134274,0.0002554668],"domain_scores_gemma":[0.9997644,0.00001263948,0.00007213184,0.00006255207,0.00006311813,0.00002515062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006573763,0.000009296662,0.9707744,0.00003019861,0.0000214911,0.000009094391,0.001694992,0.000003612098,0.001040703,0.01963184,0.00003828685,0.006739526],"study_design_scores_gemma":[0.0000690208,0.000001138262,0.996196,0.00002271488,0.00003614853,8.455783e-8,0.00176149,0.0008178229,0.00001991223,0.0006309131,0.0003493188,0.00009548329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8539425,0.00002376782,0.00001639558,0.00004903381,0.00006981147,0.00003378664,0.000002000277,0.00001187805,0.1458508],"genre_scores_gemma":[0.9996637,0.000001555925,0.00008754835,0.0001673175,0.0000456689,9.611414e-7,0.000001594125,0.000003249249,0.00002840233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1458224,"threshold_uncertainty_score":0.8863177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851837321217292,"score_gpt":0.2378014440534659,"score_spread":0.2192830708412929,"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."}}