{"id":"W2894812132","doi":"10.2139/ssrn.3177146","title":"On the Dynamics of Brand Extensions: The Case of Movies","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Advertising; Dynamics (music); Business; 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":[0.0008485868,0.00018378,0.0004543491,0.0007494811,0.001293479,0.004023084,0.0006584737,0.002279893,0.01556438],"category_scores_gemma":[0.007764844,0.0002747285,0.0004405458,0.0009319808,0.00197526,0.005406182,0.001188041,0.00193248,0.0004874613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367819,"about_ca_system_score_gemma":0.0005195817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546407,"about_ca_topic_score_gemma":0.01593319,"domain_scores_codex":[0.999805,0.0000687944,0.00000663949,0.00002814437,0.00002484196,0.00006654105],"domain_scores_gemma":[0.9955012,0.003044011,0.000483814,0.0002186009,0.0002553799,0.0004969309],"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":[0.0005725216,0.0004401184,0.0349382,0.000111091,0.00005591106,0.002258305,0.00520041,0.03527345,0.003580069,0.8759248,0.007290401,0.03435478],"study_design_scores_gemma":[0.0001167678,0.0001866997,0.08665888,0.000180874,0.0001021562,0.001065702,0.01052617,0.2535189,0.0009240302,0.6254435,0.02114424,0.0001321616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051483,0.001294079,0.005674134,0.006037441,0.00003318995,0.00002235486,0.0001690978,0.00003025275,0.0815911],"genre_scores_gemma":[0.9954218,0.0005330289,0.0005276576,0.0000883639,0.00003178477,0.000004302881,0.00002869399,0.000007981213,0.003356424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556438,"threshold_uncertainty_score":0.05206805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215195802298885,"score_gpt":0.2369391155860108,"score_spread":0.2247871575630219,"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."}}