{"id":"W653675121","doi":"","title":"How Consumers’ Content Preference Affects Cannibalization: An Empirical Analysis on E-book Market","year":2014,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cannibalization; Popularity; Preference; Order (exchange); Selection (genetic algorithm); Matching (statistics); Advertising; Channel (broadcasting); Economics; Empirical research; Maturity (psychological); Marketing; Business; Computer science; Microeconomics; Industrial organization; Political science; Telecommunications","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":[0.001714607,0.0002228602,0.0005270927,0.001022058,0.0006307106,0.00190754,0.0007890046,0.001239013,0.01206894],"category_scores_gemma":[0.01060543,0.0002453267,0.001043131,0.001921355,0.0008559553,0.002312809,0.0006381138,0.001558016,0.001479722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070004,"about_ca_system_score_gemma":0.0005478564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337691,"about_ca_topic_score_gemma":0.01079784,"domain_scores_codex":[0.9991677,0.0002498775,0.00005355089,0.0001370841,0.0002345536,0.0001572427],"domain_scores_gemma":[0.971473,0.01939361,0.005252987,0.00110295,0.001485884,0.001291584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009806133,0.001350081,0.9819551,0.00009544392,0.0001896034,0.0003892506,0.002022763,0.0006326234,0.001077388,0.001243826,0.0008735425,0.009189762],"study_design_scores_gemma":[0.00004031527,0.0002389495,0.9889795,0.00001750827,0.0001482005,0.00008842406,0.003217087,0.005164118,0.0005219936,0.000564125,0.0009950468,0.00002461733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977109,0.0001033623,0.0001242318,0.0001171302,0.000002898193,0.00002202353,0.0001551831,0.000005308379,0.001758926],"genre_scores_gemma":[0.9982417,0.00007090328,0.00009809635,0.00005749577,0.00001262954,0.00001653975,0.0003378247,0.000007079506,0.001157827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337691,"threshold_uncertainty_score":0.0403747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09052026901786596,"score_gpt":0.2884430175360821,"score_spread":0.1979227485182162,"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."}}