{"id":"W7034556220","doi":"","title":"TARGETING IN PROMOTING PRODUCTS IN SOCIAL NETWORK","year":2013,"lang":"en","type":"article","venue":"Institutional Repository National Mining University of Ukraine (National Mining University of Ukraine)","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Target audience; Promotion (chess); Social network (sociolinguistics); The Internet; Attendance; Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001717473,0.0004877694,0.0002185744,0.001300585,0.002199203,0.004781118,0.0006584031,0.001325645,0.01844201],"category_scores_gemma":[0.003578741,0.0002326216,0.0003433664,0.00167341,0.0007945381,0.00622286,0.003090791,0.0009838819,0.01173574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000798985,"about_ca_system_score_gemma":0.0009773583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102971,"about_ca_topic_score_gemma":0.001971734,"domain_scores_codex":[0.9983266,0.0006973035,0.00004765177,0.0001914365,0.0005546187,0.0001824414],"domain_scores_gemma":[0.9985656,0.0004783139,0.0001879136,0.0001948291,0.0002837059,0.0002896886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009966971,0.0006324927,0.006804939,0.001414738,0.00002380703,0.0006149653,0.01248044,0.0002279083,0.00689743,0.07708437,0.07679541,0.8169239],"study_design_scores_gemma":[0.0000233709,0.0002627178,0.008616311,0.0007385396,0.00005253315,0.001034783,0.006134348,0.001174159,0.003133074,0.0170677,0.9617261,0.00003632738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08440912,0.005862623,0.03264062,0.01019533,0.001077384,0.0008294799,0.0002055641,0.001211031,0.8635689],"genre_scores_gemma":[0.4889885,0.01604487,0.06547539,0.007153936,0.001012348,0.0008655128,0.0006868897,0.0005776769,0.4191949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01844201,"threshold_uncertainty_score":0.06169468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942829136418608,"score_gpt":0.2291272163847728,"score_spread":0.2096989250205867,"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."}}