{"id":"W6902013192","doi":"10.6084/m9.figshare.26560733.v1","title":"Additional file 2 of Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Secure multi-party computation; Data sharing; Data access; Computation; File sharing; SSH File Transfer Protocol","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006526714,0.0001155584,0.0001265921,0.0001138672,0.0001027834,0.0001892069,0.001300076,0.0001169349,0.7110298],"category_scores_gemma":[0.001321375,0.0001064079,0.00005248272,0.0005851524,0.00001741784,0.0009618469,0.0008543651,0.0001872654,0.0003053016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340556,"about_ca_system_score_gemma":0.0001295286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002356277,"about_ca_topic_score_gemma":0.000002769742,"domain_scores_codex":[0.9987611,0.00001243564,0.0002068304,0.0005437834,0.0002711049,0.0002047133],"domain_scores_gemma":[0.9970963,0.002064216,0.00007216809,0.0006069332,0.00008517215,0.00007518654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002965752,0.00003271144,3.540153e-7,0.0004985493,0.00001940325,0.000004513778,0.00008237581,0.00001894762,0.000002019022,0.003849845,0.9847813,0.010707],"study_design_scores_gemma":[0.00005396389,0.00003331645,0.0001347406,0.002873745,0.000002715217,0.000005044984,0.000004927077,0.3634995,0.00003131,0.006115304,0.6271461,0.00009927068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001078102,0.0001158496,0.05038919,0.00007625187,0.0001088395,0.0001546467,0.9489285,0.0001765746,0.00003936946],"genre_scores_gemma":[0.003524804,0.00000133462,0.1931125,0.00005916946,0.0002018985,0.0002775008,0.8028098,0.000008368282,0.000004632293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7107245,"threshold_uncertainty_score":0.4339188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06586538541730082,"score_gpt":0.2996291609663601,"score_spread":0.2337637755490593,"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."}}