{"id":"W4400729489","doi":"10.2196/55496","title":"Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; KU Leuven; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Usability; Ecosystem; Computer science; Research development; World Wide Web; Knowledge management; Data science; Human–computer interaction; Ecology; Biology","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":[0.05916132,0.0008849992,0.0008755695,0.002601417,0.001257106,0.004414236,0.001802228,0.001995528,0.001846564],"category_scores_gemma":[0.09036591,0.0007215937,0.001932276,0.00183182,0.00147575,0.005363327,0.006382866,0.001630892,0.0005724001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376866,"about_ca_system_score_gemma":0.003658028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817281,"about_ca_topic_score_gemma":0.002682206,"domain_scores_codex":[0.9733678,0.02084424,0.001760571,0.001223059,0.002172693,0.0006315662],"domain_scores_gemma":[0.9041348,0.07314552,0.002496295,0.009564413,0.008321866,0.002337007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001806724,0.009328962,0.1227296,0.01080088,0.0008638306,0.001571463,0.04641035,0.01967362,0.007630644,0.01518104,0.01584667,0.7481564],"study_design_scores_gemma":[0.003376269,0.02167418,0.1918532,0.01449225,0.001757142,0.005201296,0.06965207,0.3374076,0.02023811,0.05557016,0.2772647,0.001513147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7757241,0.001304648,0.1895646,0.002604617,0.0002069856,0.01314238,0.001440184,0.006139769,0.009872711],"genre_scores_gemma":[0.5667208,0.0008689411,0.4203374,0.0007017293,0.00003535317,0.007807384,0.00160328,0.0003911822,0.001534073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05916132,"threshold_uncertainty_score":0.3128787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3296623122756691,"score_gpt":0.5370283979641898,"score_spread":0.2073660856885207,"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."}}