{"id":"W1800401028","doi":"10.5539/ibr.v8n8p150","title":"Optimizing Digital Marketing for Generation Y: An Investigation of Developing Online Market in Bangladesh","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advertising; Context (archaeology); The Internet; Social media; Digital marketing; Marketing; Digital media; Business; Online advertising; Order (exchange); Product (mathematics); Habit; Computer science; Geography; Psychology; World Wide Web; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005286779,0.0002242827,0.0001553154,0.0008299921,0.001595465,0.00198922,0.000323608,0.0005898617,0.006548733],"category_scores_gemma":[0.001237791,0.0002009011,0.0001939476,0.0009393673,0.0008425223,0.002142503,0.001065314,0.0005133268,0.0006581026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527421,"about_ca_system_score_gemma":0.001090888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232814,"about_ca_topic_score_gemma":0.02290477,"domain_scores_codex":[0.9996915,0.0000825502,0.00001895253,0.00003698847,0.00006151605,0.0001085479],"domain_scores_gemma":[0.9991918,0.0002455751,0.0002462111,0.00003138254,0.0001140712,0.0001709098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002018296,0.0008074587,0.7574562,0.0003087166,0.00002562838,0.005831544,0.1622444,0.0002796848,0.004859142,0.01131411,0.002280797,0.05439037],"study_design_scores_gemma":[0.00001574471,0.0005090048,0.50068,0.0001085026,0.00001922944,0.000833815,0.4759313,0.0006930601,0.0007484838,0.0009756646,0.01945043,0.00003464816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923421,0.00005935792,0.00004446814,0.0002071112,0.000002143728,0.00002804054,0.00005564548,0.000001063335,0.007260063],"genre_scores_gemma":[0.9972489,0.0002267256,0.00009084912,0.00006686661,0.000002481015,0.00001486922,0.00003829228,0.000001744068,0.002309259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232814,"threshold_uncertainty_score":0.02451277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1961791894918768,"score_gpt":0.4248419639169251,"score_spread":0.2286627744250483,"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."}}