{"id":"W2203056282","doi":"10.15200/winn.144060.05806","title":"I am here to talk about the science behind visualization. I am Prof. Tamara Munzner from the University of British Columbia. Ask Me Anything!","year":2015,"lang":"en","type":"dataset","venue":"The Winnower","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; World Wide Web; Computer science; Reading (process); Graphics; Library science; Computer graphics (images); Law; Artificial intelligence; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556766,0.0001751614,0.0002286791,0.00003155607,0.0005241185,0.000294336,0.002757792,0.0003001258,0.0002380398],"category_scores_gemma":[0.0008948367,0.0001326011,0.0000976629,0.0003384784,0.002328556,0.00001158349,0.001506976,0.0003493959,0.00007555102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004434408,"about_ca_system_score_gemma":0.0007793119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.013797,"about_ca_topic_score_gemma":0.02001824,"domain_scores_codex":[0.9976475,0.0001731243,0.0003143236,0.0003943296,0.001045534,0.0004251695],"domain_scores_gemma":[0.99749,0.00007278533,0.0002226529,0.00130267,0.0007261174,0.0001858099],"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":[0.00002373743,0.00005515853,0.00007796525,0.00002432283,0.0000616457,0.000002645839,0.0002872933,0.000005950857,0.001575253,8.441348e-7,0.9968299,0.001055308],"study_design_scores_gemma":[0.0002776518,0.0001781626,0.002340651,0.00008031609,0.00005670611,0.000007755352,0.001238136,0.00004286871,0.000355254,0.00004702459,0.9951715,0.000203993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08230455,0.001304184,0.0001608197,0.00199747,0.0007986762,0.001381352,0.9114845,0.00001412713,0.000554328],"genre_scores_gemma":[0.05193342,0.003330347,0.0002487438,0.004422007,0.001901166,0.00002566359,0.9124281,0.00007052886,0.02563997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03037114,"threshold_uncertainty_score":0.9978639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441948274536258,"score_gpt":0.2708092614762815,"score_spread":0.2563897787309189,"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."}}