{"id":"W2160999441","doi":"10.2139/ssrn.1971698","title":"Non-Comparative Versus Comparative Advertising of Quality","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Unobservable; Comparative advertising; Business; Quality (philosophy); Advertising; Comparative advantage; Value (mathematics); Market share; Differential (mechanical device); Informative advertising; Marketing; Native advertising; Economics; Computer science; Online advertising; Econometrics; Engineering; The Internet; International trade","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":[0.007092186,0.0003495631,0.0008056213,0.003042133,0.0009011496,0.005445121,0.0009285113,0.001368986,0.02159062],"category_scores_gemma":[0.047387,0.000334636,0.0005420162,0.002506964,0.002678047,0.006145919,0.001314442,0.0009178909,0.0005934968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002881177,"about_ca_system_score_gemma":0.0009226025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003474456,"about_ca_topic_score_gemma":0.003318626,"domain_scores_codex":[0.9963024,0.001498296,0.0001714602,0.000606397,0.001085365,0.000336172],"domain_scores_gemma":[0.9537495,0.03468297,0.004008106,0.003046369,0.00336941,0.001143741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002602377,0.0007430062,0.07881799,0.001208123,0.0003545599,0.0003879378,0.002740627,0.003175299,0.007913171,0.7685767,0.005063058,0.1284171],"study_design_scores_gemma":[0.0004438833,0.002580603,0.4756911,0.000767883,0.001429806,0.003037489,0.008572995,0.03255644,0.009964609,0.4246323,0.04008938,0.0002335109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7750235,0.007752185,0.008670932,0.002570124,0.0002042894,0.00007464182,0.0003162116,0.00006725395,0.2053209],"genre_scores_gemma":[0.9943942,0.0007020801,0.0008143418,0.0001759008,0.0002104678,0.000008591981,0.00007058078,0.00001155098,0.003612459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02159062,"threshold_uncertainty_score":0.07222784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09570383309390361,"score_gpt":0.3017398853565461,"score_spread":0.2060360522626424,"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."}}