{"id":"W4380142754","doi":"10.2196/46275","title":"Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Visual analytics; Computer science; Visualization; Data science; Data visualization; Analytics; Data mining; Population; Information retrieval; Machine learning; Medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00517829,0.0004073034,0.0003948249,0.004865946,0.0004675564,0.001682744,0.0006320318,0.0006632013,0.001309184],"category_scores_gemma":[0.01904958,0.0002001894,0.0008052104,0.004301851,0.0006635259,0.001565011,0.001278278,0.0005646739,0.0002445446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573503,"about_ca_system_score_gemma":0.0006734568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657067,"about_ca_topic_score_gemma":0.002711495,"domain_scores_codex":[0.9971738,0.001648843,0.0002272159,0.0003025212,0.0005197539,0.0001279368],"domain_scores_gemma":[0.9764509,0.01840416,0.001777527,0.001121199,0.001856103,0.000389953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009084849,0.002039286,0.5022994,0.002608076,0.0004219146,0.001313737,0.03298637,0.01387321,0.009112937,0.01160147,0.01075975,0.4120754],"study_design_scores_gemma":[0.0001920321,0.001677371,0.4559197,0.001162366,0.0003898202,0.003995194,0.05324415,0.4070783,0.02025512,0.02392393,0.03191738,0.0002445794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026664,0.001208509,0.08781501,0.001450039,0.00004160563,0.0006438716,0.002664978,0.0006390332,0.002870583],"genre_scores_gemma":[0.9048214,0.0006115852,0.09240778,0.00009603082,0.00003742945,0.0002693441,0.001243239,0.00004106433,0.0004721651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00517829,"threshold_uncertainty_score":0.02738571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313783404467067,"score_gpt":0.4449918575865837,"score_spread":0.313613517139877,"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."}}