{"id":"W4312939477","doi":"10.1007/978-3-031-16990-8_5","title":"Data Visualization","year":2022,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; York University","funders":"","keywords":"Graphics; Computer science; Visualization; Outlier; Information visualization; Artificial intelligence; Data visualization; Information retrieval; Computer graphics (images); Pattern recognition (psychology); Data mining","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":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","scholarly_communication","open_science"],"category_scores_codex":[0.02565373,0.0007159936,0.0005353463,0.01792494,0.004909493,0.009934337,0.03159733,0.0001851069,0.004981122],"category_scores_gemma":[0.001688767,0.0007901045,0.0001196273,0.01013322,0.00665389,0.02360771,0.03358851,0.001924421,0.0006210133],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005806882,"about_ca_system_score_gemma":0.001574603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006029849,"about_ca_topic_score_gemma":0.005187895,"domain_scores_codex":[0.9747961,0.0005311921,0.002015787,0.004305895,0.01635306,0.001997991],"domain_scores_gemma":[0.9910346,0.0002166398,0.0001641783,0.004674677,0.003451169,0.0004587556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005289331,0.0003845365,0.0000750929,0.00005289542,0.00009307976,0.0003091977,0.0005225314,0.0531281,0.0001017258,0.9359828,0.005540744,0.003756469],"study_design_scores_gemma":[0.0007075015,0.0001409968,0.0005479812,0.0003144453,0.0000107225,0.00003498289,0.001777061,0.3468641,0.00006454585,0.01974647,0.6290151,0.0007760875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001916237,0.0001311962,0.02385429,0.0211219,0.004635444,0.003685834,0.0007713372,0.000275098,0.9453333],"genre_scores_gemma":[0.04438349,0.01890842,0.0465873,0.0008034746,0.0005868574,0.001675634,0.005157749,0.0001750425,0.881722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9162363,"threshold_uncertainty_score":0.999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407635745079986,"score_gpt":0.4716575880095431,"score_spread":0.3308940135015445,"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."}}