{"id":"W1968305741","doi":"10.1109/vast.2012.6400543","title":"Using translational science in visual analytics","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Visual analytics; Computer science; Analytics; Data science; Interactive visual analysis; Visualization; Human–computer interaction; Artificial intelligence","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":[0.05511865,0.001971762,0.001111112,0.007356161,0.003868068,0.02051194,0.00335864,0.0047839,0.01400604],"category_scores_gemma":[0.1186811,0.001163702,0.001907992,0.006928634,0.01885593,0.01903277,0.01106005,0.008548019,0.003548364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004784436,"about_ca_system_score_gemma":0.006470058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004071472,"about_ca_topic_score_gemma":0.002694236,"domain_scores_codex":[0.9425486,0.04712297,0.002490295,0.001858407,0.004969355,0.001010368],"domain_scores_gemma":[0.8664339,0.1009399,0.005113349,0.01568961,0.009591937,0.002231326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008412755,0.0001168458,0.001195088,0.0009440785,0.00005827828,0.0002325494,0.007569685,0.00360104,0.001663174,0.8649786,0.0153473,0.1042093],"study_design_scores_gemma":[0.00007181457,0.0001378505,0.000444905,0.001037157,0.00003811472,0.0003564688,0.002740234,0.009781672,0.003208552,0.8145857,0.1674919,0.000105479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002954282,0.003460544,0.9371797,0.02561942,0.001738216,0.0004775924,0.0002183436,0.001572289,0.0267797],"genre_scores_gemma":[0.08017678,0.004856815,0.8986241,0.006483808,0.001566279,0.001699135,0.0003183148,0.001304936,0.004969865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05511865,"threshold_uncertainty_score":0.2914988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09028880107387988,"score_gpt":0.3936698456467996,"score_spread":0.3033810445729198,"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."}}