{"id":"W4402982599","doi":"10.1109/otcon60325.2024.10687990","title":"Distributed Bioengineering Data Analysis Preserving Privacy with Federated Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Information privacy; Internet privacy; Data science; Computer security","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":[0.009051966,0.0007325547,0.001240142,0.00157637,0.001500953,0.005131902,0.002691194,0.001714423,0.001091356],"category_scores_gemma":[0.01558648,0.0004536631,0.001776879,0.002422459,0.002670163,0.007383432,0.006200193,0.00290868,0.0005865814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230187,"about_ca_system_score_gemma":0.002892176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374963,"about_ca_topic_score_gemma":0.0009179068,"domain_scores_codex":[0.9898774,0.003320638,0.0008298553,0.002171369,0.003158996,0.0006415998],"domain_scores_gemma":[0.9832585,0.004802967,0.0008215411,0.00922134,0.001598177,0.0002973876],"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":[0.0007066173,0.0003705712,0.005079333,0.0003048169,0.0002819278,0.0004902979,0.0008017793,0.1521811,0.008356729,0.3020715,0.008353111,0.5210022],"study_design_scores_gemma":[0.00004220543,0.00009456566,0.0005716254,0.00007862118,0.00005331995,0.0004558438,0.0001516459,0.5546948,0.01745391,0.4059091,0.02044649,0.0000477373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007578469,0.000382431,0.9882271,0.0009643101,0.00006979133,0.00006320238,0.0001051828,0.001006501,0.00160305],"genre_scores_gemma":[0.4770837,0.0008477,0.5150985,0.00144077,0.0001795846,0.0002649932,0.0008911661,0.0001706223,0.004023026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009051966,"threshold_uncertainty_score":0.04787195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591820840815938,"score_gpt":0.2789814693254989,"score_spread":0.2430632609173395,"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."}}