{"id":"W2551403525","doi":"10.2139/ssrn.4549066","title":"Advertising, Innovation and Economic Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Advertising; Business; Marketing","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":[0.001022112,0.000283803,0.0004367247,0.00181792,0.0003725665,0.003687212,0.0002075011,0.001572157,0.01436236],"category_scores_gemma":[0.007667416,0.0001250069,0.0002857115,0.002405866,0.0008556597,0.002045944,0.0005265315,0.001051588,0.0014841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049483,"about_ca_system_score_gemma":0.0008852215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006736,"about_ca_topic_score_gemma":0.006683243,"domain_scores_codex":[0.9996758,0.0001313393,0.00002085981,0.00004373436,0.00006730611,0.00006097377],"domain_scores_gemma":[0.9874638,0.009902188,0.001422397,0.0001776587,0.0004527727,0.0005812176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001238151,0.001601807,0.4491171,0.001079357,0.0005090131,0.002079377,0.001525239,0.01730292,0.00151841,0.2635956,0.04118503,0.219248],"study_design_scores_gemma":[0.000197048,0.0005220349,0.5006136,0.0005996804,0.0007387656,0.001525869,0.003391924,0.02425633,0.00110371,0.4054471,0.06147987,0.0001240877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7059904,0.08015537,0.002876174,0.0248608,0.0008680711,0.00002831256,0.001330877,0.0001565569,0.1837336],"genre_scores_gemma":[0.9616567,0.01539477,0.0002333615,0.0004376234,0.001150813,0.000007434476,0.0002417155,0.00001312118,0.02086434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01436236,"threshold_uncertainty_score":0.04804689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481031187505662,"score_gpt":0.2125946418942223,"score_spread":0.1977843300191657,"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."}}