{"id":"W3089808154","doi":"10.1017/ice.2020.457","title":"Regarding data visualization","year":2020,"lang":"en","type":"letter","venue":"Infection Control and Hospital Epidemiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Content (measure theory); Computer science; Visualization; World Wide Web; Information retrieval; Database; Data mining; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.05198956,0.002229907,0.001807132,0.004928835,0.002671336,0.01329602,0.006112237,0.008753026,0.3070275],"category_scores_gemma":[0.3535388,0.001402455,0.002640215,0.004726444,0.002386738,0.01102901,0.0103944,0.006830318,0.1826271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674814,"about_ca_system_score_gemma":0.008118632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155591,"about_ca_topic_score_gemma":0.004157926,"domain_scores_codex":[0.9470052,0.03000286,0.005890853,0.003275094,0.01242677,0.001399243],"domain_scores_gemma":[0.7129728,0.1716152,0.009108214,0.04546914,0.05350355,0.007331183],"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":[0.00007658864,0.00001350346,0.0001817197,0.0003935127,0.00002299961,0.0001129962,0.0002561793,0.00009859043,0.0001767539,0.004357222,0.9603943,0.03391562],"study_design_scores_gemma":[0.00003607483,0.00001132532,0.000155454,0.0007552443,0.00001497332,0.0002255921,0.0001522597,0.0007875134,0.000414282,0.01166132,0.9857533,0.00003256108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001104587,0.004350933,0.2154611,0.2993444,0.04835447,0.002528571,0.0594811,0.1436688,0.2257061],"genre_scores_gemma":[0.05307471,0.009610067,0.3016595,0.2138746,0.04185622,0.01029708,0.06587555,0.08291718,0.2208351],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3070275,"threshold_uncertainty_score":0.9884412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627324657565886,"score_gpt":0.4016814472669174,"score_spread":0.2389489815103288,"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."}}