{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003945504,0.0002437317,0.000362952,0.0003491773,0.00007626782,0.0002691656,0.001136477,0.0001151931,0.00003030328],"category_scores_gemma":[0.000005174677,0.0002988362,0.00003060935,0.00005056819,0.00002779169,0.0004708968,0.002125498,0.0001377526,0.00009783821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296711,"about_ca_system_score_gemma":0.0001271096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002655817,"about_ca_topic_score_gemma":0.0002366209,"domain_scores_codex":[0.9981622,0.00001486907,0.0006042602,0.0008499266,0.0001055295,0.0002632901],"domain_scores_gemma":[0.998034,0.00002333883,0.0003374239,0.001482405,0.00002608976,0.00009676052],"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":[0.000001641784,0.000005011193,0.0001084512,0.0007629903,0.00002312767,0.000003332931,0.0001299753,0.0001009223,2.494511e-9,0.9604514,0.003269128,0.03514402],"study_design_scores_gemma":[0.000251905,0.00002837379,0.0001090554,0.0002150082,0.000008847871,8.982948e-7,0.00004189392,0.04237172,1.194207e-7,0.003586438,0.9530954,0.000290366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002652939,0.006948796,0.126511,0.001534346,0.002309775,0.001637937,0.0004180976,0.0002594909,0.8603541],"genre_scores_gemma":[0.002669597,0.1539057,0.03477569,0.01862409,0.0007344412,0.00002161043,0.009258498,0.0003065655,0.7797039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.956865,"threshold_uncertainty_score":0.9999464,"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."}}