{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.03495539,0.0002145516,0.0004006427,0.0008416504,0.001705118,0.002115953,0.01112173,0.0002309336,0.000007623276],"category_scores_gemma":[0.03237344,0.0001745915,0.00008024427,0.002043432,0.0003312507,0.002127179,0.0524958,0.001851441,0.00007322839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116843,"about_ca_system_score_gemma":0.0008631122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515809,"about_ca_topic_score_gemma":0.00006185687,"domain_scores_codex":[0.9934038,0.001812263,0.0008999472,0.001226021,0.001403901,0.001254088],"domain_scores_gemma":[0.9850122,0.01056442,0.00008161912,0.002743117,0.00140206,0.0001965747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003472537,0.001471785,0.01496303,0.003155106,0.0003902754,0.0000343906,0.01200742,0.000006818296,0.0001094976,0.004002108,0.5210252,0.4424871],"study_design_scores_gemma":[0.00201861,0.004277733,0.02193749,0.0006176541,0.000006372773,0.00001336728,0.008088484,0.7478325,0.003425762,0.05941938,0.1517764,0.0005863189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7544596,0.0008477826,0.2315876,0.004211801,0.000535413,0.006892916,0.00004174923,0.001020788,0.0004024314],"genre_scores_gemma":[0.9593384,0.00005749266,0.03640037,0.000007052511,0.00007894796,0.003747467,0.00002102765,0.00002761477,0.0003215837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7478256,"threshold_uncertainty_score":0.9995945,"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."}}