{"id":"W4404708694","doi":"10.1109/tvcg.2024.3473148","title":"Preface","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer graphics (images)","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":[0.001657793,0.00096521,0.0006959116,0.002373404,0.002010847,0.004047276,0.001376044,0.001431926,0.5705121],"category_scores_gemma":[0.01313248,0.0003190855,0.0005328488,0.001712748,0.0005106343,0.003256959,0.001866906,0.002939207,0.422007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648237,"about_ca_system_score_gemma":0.002284755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298176,"about_ca_topic_score_gemma":0.003678378,"domain_scores_codex":[0.9990113,0.0001195517,0.00007159478,0.0001613496,0.0005476502,0.00008852925],"domain_scores_gemma":[0.9925854,0.0008974069,0.0002299402,0.0004585695,0.004664415,0.0011644],"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":[0.00001422191,0.00001025621,0.00005334606,0.0000541895,7.840397e-7,0.00002017346,0.0000317289,0.00002686153,0.00006502907,0.001437465,0.9726634,0.02562256],"study_design_scores_gemma":[0.000003225571,0.00001223335,0.000189959,0.00009043429,0.000001005229,0.00004248193,0.00005036797,0.00002009489,0.00004648947,0.001103993,0.9984365,0.000003210503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001322788,0.009299533,0.00590682,0.04914463,0.242171,0.0007027733,0.01595011,0.002420328,0.6730819],"genre_scores_gemma":[0.005089047,0.006294511,0.002604485,0.009446121,0.03519765,0.0003321255,0.01249052,0.001086003,0.9274595],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5705121,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132895336293722,"score_gpt":0.2957976141353369,"score_spread":0.2744686607723997,"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."}}