{"id":"W4299945874","doi":"10.1007/978-1-4614-6170-8_100795","title":"Information Visualization","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Information visualization; 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":[0.0006400866,0.001489127,0.0007987592,0.004156301,0.001000093,0.005347148,0.001537248,0.00101952,0.1620922],"category_scores_gemma":[0.002330437,0.0006996935,0.0008516378,0.005388111,0.0007417526,0.004883037,0.002354017,0.001868825,0.07361984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00089277,"about_ca_system_score_gemma":0.001045588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009991,"about_ca_topic_score_gemma":0.002866713,"domain_scores_codex":[0.9995136,0.00007523247,0.00002131397,0.00009411093,0.0002645747,0.00003124498],"domain_scores_gemma":[0.9991797,0.000246966,0.00002298575,0.000218468,0.0002741575,0.00005769686],"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":[0.00001248314,0.00001624799,0.00006545747,0.0002935728,0.00001535514,0.00004282685,0.0001876023,0.0007282929,0.00117397,0.06082036,0.5225773,0.4140666],"study_design_scores_gemma":[0.000003558337,0.000005720058,0.0001400842,0.0001672193,0.000009494292,0.0001348138,0.00007096145,0.001962572,0.0009152687,0.04882843,0.9477491,0.00001276855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0010946,0.01398139,0.244871,0.003284381,0.002540053,0.0001885453,0.002564769,0.01281982,0.7186554],"genre_scores_gemma":[0.01216212,0.01640259,0.09524943,0.001113509,0.001341353,0.0002326105,0.004692114,0.004203937,0.8646023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1620922,"threshold_uncertainty_score":0.5422525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802618563507066,"score_gpt":0.2714875419252381,"score_spread":0.2534613562901674,"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."}}