{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002862436,0.0001026397,0.0001702656,0.0001002292,0.00004228663,0.0001130815,0.0004655682,0.00003070397,0.0002177063],"category_scores_gemma":[0.0002038472,0.00006287296,0.00006842637,0.0004829871,0.00002018787,0.002274501,0.0001380825,0.00004585748,0.001317512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002803495,"about_ca_system_score_gemma":0.00006422795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.006655e-7,"about_ca_topic_score_gemma":6.849652e-7,"domain_scores_codex":[0.9989236,0.00003485542,0.0005154282,0.00009838223,0.000284951,0.0001427574],"domain_scores_gemma":[0.9990633,0.00003608109,0.0002198843,0.0003856283,0.0002113481,0.00008375469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.247858e-7,0.00007702757,0.0002235299,0.0007617544,0.00002123128,0.000001651423,0.00005931925,0.000004933821,0.00001516293,0.05574445,0.2204958,0.7225942],"study_design_scores_gemma":[0.0001699658,0.00002103506,0.0002800206,0.0008273764,0.0000102656,0.000006670844,0.000004673921,0.01653819,0.00002346594,0.0001313258,0.9818578,0.0001292336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.00006133119,0.0007928387,0.9838839,0.01255919,0.0001219653,0.0001397412,0.00003614545,0.0001401663,0.00226476],"genre_scores_gemma":[0.04911743,0.2978399,0.1302913,0.5032728,0.000903313,0.0000748999,0.00309962,0.00006805517,0.0153327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8535926,"threshold_uncertainty_score":0.9994601,"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."}}