{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006352452,0.0002796318,0.0010867,0.0001078688,0.000126258,0.00002081124,0.0001270028,0.0007273768,0.0000551686],"category_scores_gemma":[0.004428384,0.0002401066,0.0001309621,0.0001263976,0.0001421295,0.0002002077,0.0001311606,0.001209133,0.00005324644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007393,"about_ca_system_score_gemma":0.00009085629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009353185,"about_ca_topic_score_gemma":0.00001871085,"domain_scores_codex":[0.9977704,0.0003367062,0.0005848134,0.0007765759,0.0001515307,0.0003800191],"domain_scores_gemma":[0.99819,0.0007027985,0.0003677026,0.0004708766,0.0001365192,0.000132048],"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":[0.00006570834,0.000007567093,0.07247431,0.0001316265,0.0001837251,0.0001750354,0.00001453563,0.000005056032,0.000006420304,0.0002205158,0.921144,0.005571512],"study_design_scores_gemma":[0.001192086,0.0007969111,0.01735903,0.0001595236,0.0004311978,0.0001811317,0.000005158891,0.006673712,8.762786e-7,0.0009877987,0.9719587,0.0002538621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006906774,0.002632017,0.0256937,0.9676252,0.001168062,0.0005166493,0.00009889605,0.0001925771,0.001382226],"genre_scores_gemma":[0.05706546,0.001094987,0.0002437095,0.9312264,0.008487359,0.00003100104,0.001630637,0.00003505054,0.0001854478],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05637478,"threshold_uncertainty_score":0.9791265,"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."}}