{"id":"W3095251140","doi":"10.1109/jiot.2020.3033806","title":"Dynamic Contract Design for Federated Learning in Smart Healthcare Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Qatar University; Energy Market Authority of Singapore; National Research Foundation Singapore","keywords":"Computer science; Health care; Knowledge management","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0008152798,0.0001291818,0.0002489813,0.0001471359,0.00009512858,0.0002454129,0.009391354,0.0001117107,0.000005441506],"category_scores_gemma":[0.005240736,0.0001258684,0.0000732776,0.0002948164,0.00004602804,0.0007511555,0.00321176,0.0008656025,0.000007444001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314213,"about_ca_system_score_gemma":0.00013407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006578432,"about_ca_topic_score_gemma":0.000008687747,"domain_scores_codex":[0.998556,0.0001189086,0.0005132234,0.0003010831,0.0002168596,0.0002939276],"domain_scores_gemma":[0.9982657,0.000325881,0.0004261885,0.0006970736,0.0001817318,0.0001034618],"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":[0.0008316973,0.0005731022,0.009064287,0.000772885,0.0004994851,0.0002773661,0.01063748,0.007058481,0.09270714,0.005011155,0.2384516,0.6341153],"study_design_scores_gemma":[0.0004912011,0.0003023891,0.0001265839,0.0001303882,0.000004234205,0.00008710673,0.0000506694,0.9619464,0.009331981,0.02598876,0.001407446,0.0001328494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007492616,0.0002253989,0.9353198,0.0562013,0.0001951446,0.0003183437,0.000002636176,0.0002168644,0.00002791301],"genre_scores_gemma":[0.6839083,0.0000378634,0.3153374,0.0006470084,0.00001919094,0.00002479151,0.00000197309,0.00001043812,0.00001309541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9548879,"threshold_uncertainty_score":0.9959683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975736707173836,"score_gpt":0.308599554874798,"score_spread":0.2588421878030596,"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."}}