{"id":"W4313374137","doi":"10.1007/978-3-031-11199-0_10","title":"Distributed Learning in Healthcare","year":2022,"lang":"en","type":"book-chapter","venue":"Integrated science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Computer science; Health care; Key (lock); Variety (cybernetics); Data sharing; Data science; Domain (mathematical analysis); Knowledge management; Artificial intelligence; Computer security; Medicine","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":["metaresearch","metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.001661388,0.0004019935,0.0004208483,0.001137428,0.0005200698,0.0003817478,0.06090842,0.0002951846,0.0002038177],"category_scores_gemma":[0.01555688,0.0003898136,0.00007762998,0.00185792,0.0008917099,0.001097729,0.09761389,0.003295525,0.0001103232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543161,"about_ca_system_score_gemma":0.001596813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006029588,"about_ca_topic_score_gemma":0.0001287665,"domain_scores_codex":[0.9957322,0.00006784927,0.0005316372,0.001590751,0.001275161,0.0008024349],"domain_scores_gemma":[0.9915604,0.0001876974,0.0003365718,0.007491,0.0002734696,0.0001508668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001025756,0.00003647193,0.0004175057,0.00003778458,0.00001376204,0.0006053349,0.0001081101,0.000165811,0.0003265962,0.8600613,0.04952502,0.08869206],"study_design_scores_gemma":[0.0001894987,0.0002147026,0.0001529495,0.0003032401,0.000003860637,0.00007443502,0.00004538822,0.06892486,0.0003454826,0.5368288,0.3921091,0.0008076141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006777387,0.003713357,0.1934275,0.2369038,0.006546332,0.002264815,0.001198731,0.01203366,0.5432341],"genre_scores_gemma":[0.4134804,0.003633489,0.3858759,0.004189626,0.0002495309,0.000494417,0.002168279,0.0004359826,0.1894723],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4128027,"threshold_uncertainty_score":0.9998554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700484404069169,"score_gpt":0.2842432787062824,"score_spread":0.2472384346655907,"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."}}