{"id":"W4231757369","doi":"10.1007/978-3-030-04506-7_5","title":"Data Visualization","year":2019,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in health care management and economics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Visualization; 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":[0.001996925,0.001854107,0.0009624625,0.004337099,0.0009446928,0.005956623,0.001730435,0.001279914,0.1825332],"category_scores_gemma":[0.006253577,0.0009633615,0.001405552,0.003856178,0.0004376399,0.003198694,0.003382804,0.00170392,0.07017003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110038,"about_ca_system_score_gemma":0.001385672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183586,"about_ca_topic_score_gemma":0.002171511,"domain_scores_codex":[0.9989287,0.000180419,0.00009945854,0.0002207057,0.0004993657,0.00007133446],"domain_scores_gemma":[0.9971914,0.0007522103,0.00009973851,0.0009329541,0.0008655666,0.0001582394],"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":[0.0001251609,0.00005521402,0.0004712676,0.000575938,0.00006490618,0.0001227313,0.0002177209,0.00166799,0.005610836,0.02086279,0.620611,0.3496144],"study_design_scores_gemma":[0.00005522911,0.00003355343,0.0008026824,0.0002730768,0.00005127077,0.0003380532,0.0001422099,0.01993179,0.01246557,0.03450123,0.9313469,0.00005837107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004064316,0.003005592,0.5786604,0.004288305,0.00319949,0.0007924113,0.04081972,0.1675111,0.1976586],"genre_scores_gemma":[0.05618118,0.0054322,0.5573647,0.002807648,0.001198495,0.001709988,0.0618235,0.03971547,0.2737668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1825332,"threshold_uncertainty_score":0.6106345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998653374777412,"score_gpt":0.3024470009355109,"score_spread":0.2624604671877368,"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."}}