{"id":"W3082360100","doi":"10.1002/mde.3229","title":"Advertising persuasion in dual markets","year":2020,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Persuasion; Dual (grammatical number); Advertising; Business; Dual role; Psychology","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":[0.004880176,0.0003345301,0.0007538545,0.001817834,0.0005424351,0.004470425,0.0004532047,0.001423243,0.00806277],"category_scores_gemma":[0.02686761,0.0003456289,0.0004943464,0.0006699539,0.001298109,0.003078563,0.001626193,0.001383941,0.0005916302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009885022,"about_ca_system_score_gemma":0.0004261638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588227,"about_ca_topic_score_gemma":0.000743694,"domain_scores_codex":[0.9972248,0.001431252,0.0001071536,0.0003456012,0.0004873305,0.0004040019],"domain_scores_gemma":[0.9688185,0.02285191,0.004875243,0.001256133,0.001100681,0.001097558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009030899,0.00796584,0.3210736,0.001175415,0.001125997,0.003383237,0.007193068,0.02237478,0.01340677,0.2147625,0.01021514,0.3882928],"study_design_scores_gemma":[0.002196335,0.00231055,0.4254574,0.0003275694,0.001062464,0.002620218,0.01118183,0.1486262,0.009664816,0.3695657,0.0266714,0.0003155322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694631,0.0008595804,0.002676493,0.001271986,0.0000410664,0.00003135515,0.00004297857,0.00002403285,0.02558951],"genre_scores_gemma":[0.9987968,0.00009675887,0.0002283337,0.00007710929,0.00002365906,0.000005377331,0.000008085181,0.000002092944,0.0007616288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00806277,"threshold_uncertainty_score":0.02697271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849496052368185,"score_gpt":0.205699432522381,"score_spread":0.1772044719986991,"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."}}