{"id":"W2396344332","doi":"","title":"Some Research Opportunities on Twitter Advertising.","year":2013,"lang":"en","type":"article","venue":"IEEE Data(base) Engineering Bulletin","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Computer science; Advertising; Online advertising; Domain (mathematical analysis); Advertising research; World Wide Web; Advertising campaign; Business; The Internet","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":[0.003332905,0.001063217,0.0008187887,0.004995881,0.002447636,0.007919181,0.001117033,0.002753543,0.01689615],"category_scores_gemma":[0.01260937,0.0006216099,0.001149425,0.01037207,0.001974269,0.01449859,0.001506655,0.003071841,0.004423424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555067,"about_ca_system_score_gemma":0.001665018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003690875,"about_ca_topic_score_gemma":0.003803712,"domain_scores_codex":[0.9978144,0.0008718529,0.0001494415,0.0004104188,0.0005585555,0.000195359],"domain_scores_gemma":[0.9849045,0.01062653,0.0006701873,0.0008589329,0.002307839,0.0006319944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000149394,0.0004267831,0.009384315,0.001756029,0.00007639037,0.001091431,0.001729543,0.002775423,0.001286824,0.5026065,0.1180443,0.3606732],"study_design_scores_gemma":[0.00003016778,0.0001239787,0.007475384,0.001383137,0.00007208413,0.001161612,0.003980878,0.02421693,0.001722446,0.3465733,0.6131166,0.0001435774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02914671,0.3626312,0.05713473,0.1598388,0.009173127,0.000286568,0.001667827,0.0003493267,0.3797717],"genre_scores_gemma":[0.3213105,0.4561767,0.05442267,0.02396469,0.04368667,0.0005358379,0.002848151,0.0002967805,0.09675797],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01689615,"threshold_uncertainty_score":0.05652326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625183173425272,"score_gpt":0.3061564154941548,"score_spread":0.1436380981516276,"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."}}