{"id":"W2261029459","doi":"10.1108/oir-02-2015-0067","title":"Visual Twitter Analytics (Vista)","year":2016,"lang":"en","type":"article","venue":"Online Information Review","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Social media; Visual analytics; Analytics; Originality; Software; Event (particle physics); Visualization; Data science; Sentiment analysis; Focus (optics); World Wide Web; Social media analytics; Interactive visualization; Matching (statistics); Data visualization; Information retrieval; Data mining; Artificial intelligence; Qualitative research","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":[0.002647706,0.001054263,0.0004822858,0.00560955,0.0008363294,0.003250087,0.001064121,0.0006397174,0.03512755],"category_scores_gemma":[0.01348031,0.0004411651,0.0009634454,0.004606648,0.000440734,0.00319775,0.003115392,0.0008695567,0.01372098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008573381,"about_ca_system_score_gemma":0.001620547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179658,"about_ca_topic_score_gemma":0.006636779,"domain_scores_codex":[0.9983546,0.0005830065,0.0001723392,0.0002363113,0.0005613219,0.00009244926],"domain_scores_gemma":[0.9930531,0.003609039,0.0006434084,0.0008105375,0.001579443,0.0003043817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008285712,0.00007698901,0.007449962,0.00524373,0.0002208975,0.0005174714,0.005300808,0.003179206,0.01709515,0.02744949,0.4837588,0.4488789],"study_design_scores_gemma":[0.00009063179,0.0001317297,0.005175509,0.0009001095,0.0000763464,0.0003514508,0.00182944,0.01351001,0.006362462,0.01894302,0.9525344,0.00009482092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05249456,0.009843314,0.3032405,0.0129242,0.003365733,0.003497236,0.2512392,0.1550118,0.2083835],"genre_scores_gemma":[0.2813805,0.01081039,0.4065158,0.002435952,0.001765204,0.008685443,0.1527969,0.02241799,0.1131918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03512755,"threshold_uncertainty_score":0.1175134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973996004894434,"score_gpt":0.3414256730954154,"score_spread":0.311685713046471,"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."}}