{"id":"W4285601420","doi":"10.1109/mcg.2022.3180573","title":"Visual Analysis and Processing of Diverse Data","year":2022,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Zhàng; Editor in chief; Queue; Data visualization; Computer graphics; Data science; Computer graphics (images); Visualization; Artificial intelligence; Programming language; History; Management","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":[0.003198759,0.000993795,0.0009175158,0.00512282,0.0005660364,0.005120669,0.001370292,0.0009806373,0.0297664],"category_scores_gemma":[0.009491566,0.0006827299,0.0007885191,0.003108027,0.0008485181,0.003189817,0.002175117,0.002028479,0.01181275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090809,"about_ca_system_score_gemma":0.0007632876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134279,"about_ca_topic_score_gemma":0.001988437,"domain_scores_codex":[0.9985662,0.0002191318,0.0001020139,0.00019203,0.0008357717,0.00008485742],"domain_scores_gemma":[0.9934888,0.001730036,0.0001841163,0.0005333941,0.003489913,0.0005737959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00016795,0.00003529195,0.000725764,0.0007408425,0.0000788821,0.0002458699,0.0001901854,0.002593654,0.02623559,0.01092276,0.4663864,0.4916767],"study_design_scores_gemma":[0.00006919385,0.0001040863,0.002290991,0.0003283287,0.00007223183,0.0005625375,0.0003274927,0.08059432,0.02358918,0.03901507,0.8529322,0.0001144207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005350993,0.01750975,0.9090584,0.01091901,0.02213793,0.000289058,0.001481868,0.01167267,0.02158041],"genre_scores_gemma":[0.06246605,0.04251274,0.7587408,0.003926693,0.02099037,0.000366868,0.006614813,0.008674512,0.0957071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0297664,"threshold_uncertainty_score":0.09957856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822345490722612,"score_gpt":0.3214826440038426,"score_spread":0.2832591890966165,"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."}}