{"id":"W3187314870","doi":"10.3390/info12080317","title":"Design of Generalized Search Interfaces for Health Informatics","year":2021,"lang":"en","type":"article","venue":"Information","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Health informatics; Vocabulary; Interface (matter); Workflow; Domain (mathematical analysis); Controlled vocabulary; Information retrieval; Informatics; User interface; Set (abstract data type); Plug-in; Human–computer interaction; Data science; World Wide Web; Database; Public health; Engineering; Medicine; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007063594,0.001101218,0.0009077408,0.001713932,0.000781002,0.003992536,0.002442127,0.001604637,0.005992497],"category_scores_gemma":[0.02307085,0.0008315473,0.001156811,0.00113301,0.001441912,0.005354344,0.003629484,0.001148715,0.001615322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009830283,"about_ca_system_score_gemma":0.001789637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022154,"about_ca_topic_score_gemma":0.002242103,"domain_scores_codex":[0.9946486,0.002428122,0.0008138459,0.0007851642,0.001077602,0.0002466224],"domain_scores_gemma":[0.9882719,0.007609169,0.0005679146,0.001694626,0.001496551,0.0003597593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00202337,0.0005991412,0.007639591,0.003746952,0.0004282833,0.002138484,0.01799946,0.04214649,0.07201203,0.2879891,0.02580206,0.537475],"study_design_scores_gemma":[0.0006059423,0.0006626355,0.003061094,0.000671211,0.0003575394,0.001609053,0.003529601,0.5749235,0.04827332,0.2026916,0.1633647,0.0002497894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01460879,0.0001732537,0.9743593,0.0003231544,0.00003514926,0.0006542211,0.0002084371,0.00717119,0.002466412],"genre_scores_gemma":[0.111674,0.0001709528,0.882213,0.0003443496,0.00002210845,0.00104112,0.0007206171,0.001001595,0.002812289],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007063594,"threshold_uncertainty_score":0.03735632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229474773318576,"score_gpt":0.3360776097010882,"score_spread":0.2937828619679024,"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."}}