{"id":"W7161945024","doi":"10.82308/10580","title":"Privacy-preserving regression methods for distributed biomedical data","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Poison control; Research methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01577133,0.001265951,0.002180938,0.001821902,0.001036156,0.003386022,0.003458666,0.001760464,0.003756101],"category_scores_gemma":[0.04505243,0.001089395,0.002337129,0.003214748,0.001892953,0.004053475,0.004817958,0.004079678,0.001644936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768337,"about_ca_system_score_gemma":0.003133575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908321,"about_ca_topic_score_gemma":0.002113829,"domain_scores_codex":[0.9862878,0.007878955,0.0008100997,0.002160714,0.002335607,0.0005267166],"domain_scores_gemma":[0.9616252,0.02685301,0.002358157,0.006788906,0.001992565,0.0003822782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007311137,0.000205629,0.003576631,0.000622664,0.0004873217,0.0002928764,0.0005301802,0.4779766,0.003367053,0.1616129,0.006172554,0.3444245],"study_design_scores_gemma":[0.00005135791,0.0000841907,0.0004567885,0.00003983101,0.00003330371,0.0001102059,0.00006458069,0.8734802,0.001519247,0.1187936,0.005341521,0.0000251942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002280427,0.0005400726,0.995509,0.0004370058,0.00004980419,0.00004931638,0.0001942324,0.0005099319,0.0004301794],"genre_scores_gemma":[0.2951074,0.002628287,0.6865317,0.000754946,0.0007603267,0.0009883278,0.002310725,0.0005636206,0.01035472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01577133,"threshold_uncertainty_score":0.08340776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08539126212196291,"score_gpt":0.4272433255396724,"score_spread":0.3418520634177095,"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."}}