{"id":"W2156295016","doi":"10.5753/jis.2013.627","title":"The BRAVA Initiative","year":2013,"lang":"en","type":"article","venue":"Journal on Interactive Systems","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exploratory research; Analytics; Field (mathematics); Computer science; Data science; Library science; Sociology; Social science","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":[0.01122461,0.001304689,0.0005672757,0.003068594,0.003605317,0.01095478,0.003232157,0.002675482,0.06550847],"category_scores_gemma":[0.01852702,0.0005860659,0.0008685453,0.00272269,0.002240103,0.006976641,0.01093196,0.003265063,0.03055945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004597454,"about_ca_system_score_gemma":0.01489347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04316352,"about_ca_topic_score_gemma":0.04447927,"domain_scores_codex":[0.9880976,0.003590925,0.000291635,0.001491441,0.004283833,0.002244589],"domain_scores_gemma":[0.9822734,0.00267043,0.0006266908,0.002449639,0.006479946,0.005499869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002244146,0.0001232543,0.001009158,0.0005296832,0.00002337306,0.0001227574,0.001935407,0.0002365958,0.00267664,0.1888159,0.6083755,0.1959272],"study_design_scores_gemma":[0.00001163158,0.00001096143,0.0004367233,0.0001375711,0.000004204067,0.00006572318,0.0003638281,0.0001323375,0.0002896758,0.00480655,0.9937308,0.000009988856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00906975,0.01480929,0.0388225,0.04754562,0.005420161,0.000534662,0.008557726,0.01887648,0.8563638],"genre_scores_gemma":[0.1416359,0.01339659,0.07504831,0.01632515,0.001417634,0.001614785,0.03860107,0.01578426,0.6961764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06550847,"threshold_uncertainty_score":0.2191477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149750896162588,"score_gpt":0.3202313366264137,"score_spread":0.2887338276647878,"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."}}