{"id":"W2734413399","doi":"10.5539/cis.v10n3p10","title":"A Successful Advertising Strategy over Twitter","year":2017,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Computer science; Advertising; Social media; Internet privacy; Advertising campaign; Media campaign; Computer security; World Wide Web; Business; Political science","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":[0.0008172243,0.0003322595,0.000238825,0.001322986,0.001325266,0.002364481,0.0003099464,0.000951077,0.002914472],"category_scores_gemma":[0.004366139,0.0002013878,0.0002451983,0.0009856762,0.0006917669,0.002337984,0.0007094385,0.0004382977,0.0009850134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007091228,"about_ca_system_score_gemma":0.0004161353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034387,"about_ca_topic_score_gemma":0.003738604,"domain_scores_codex":[0.9994355,0.0001794343,0.00002957996,0.0000869706,0.0001557348,0.0001127745],"domain_scores_gemma":[0.9979072,0.000817534,0.0004634177,0.0002673432,0.0002962633,0.0002483007],"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":[0.001215866,0.000817221,0.3399189,0.0006157287,0.0004111197,0.008599561,0.01135537,0.01444328,0.05433102,0.1266688,0.04100718,0.400616],"study_design_scores_gemma":[0.0002782512,0.001117754,0.4074405,0.0002258127,0.0007310238,0.006430664,0.01796143,0.3006251,0.04932554,0.06511472,0.1503808,0.0003683626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259369,0.000596126,0.004978803,0.002509583,0.00007154948,0.00009409864,0.0003469621,0.0003421798,0.06512381],"genre_scores_gemma":[0.9967554,0.00008189855,0.0006976464,0.00006791791,0.00003557679,0.00001081109,0.00005107335,0.00001417942,0.002285603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0034387,"threshold_uncertainty_score":0.00974983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475928109062361,"score_gpt":0.2985201161513865,"score_spread":0.2837608350607629,"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."}}