{"id":"W3134664150","doi":"10.3390/computers10030025","title":"A Sensitive Data Access Model in Support of Learning Health Systems","year":2021,"lang":"en","type":"article","venue":"Computers","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Computer science; Suite; Protocol (science); Data access; Data science; Data exchange; Vulnerability (computing); Health care; Computer security; Distributed computing; Database; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004796628,0.0004636569,0.00054461,0.0011019,0.001152886,0.004687089,0.002230599,0.002418428,0.005665729],"category_scores_gemma":[0.009523376,0.0004969278,0.0009828157,0.0009653902,0.003141886,0.008354001,0.004838073,0.002306551,0.001376972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838182,"about_ca_system_score_gemma":0.002210305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739216,"about_ca_topic_score_gemma":0.0009106593,"domain_scores_codex":[0.9942655,0.00251412,0.0005119574,0.0007174152,0.001516134,0.0004749326],"domain_scores_gemma":[0.9923264,0.00360406,0.0005311488,0.002141953,0.0008880986,0.0005083783],"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":[0.0001209859,0.00006628937,0.000934383,0.0001312328,0.00002502721,0.0004266523,0.0008425586,0.04536904,0.002997886,0.9291488,0.001285978,0.01865117],"study_design_scores_gemma":[0.00006167738,0.0002298871,0.0003310595,0.00009025639,0.00003852736,0.0005143493,0.0002607789,0.4084682,0.004384933,0.548838,0.03674179,0.00004064079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02972503,0.0003443089,0.9458722,0.002814546,0.0001073635,0.0003961801,0.0002255183,0.0006927279,0.01982205],"genre_scores_gemma":[0.7516332,0.0006702741,0.227891,0.0006053407,0.0002048719,0.0006710198,0.0003433306,0.0001196796,0.01786126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005665729,"threshold_uncertainty_score":0.02536726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940188145440757,"score_gpt":0.325242689561109,"score_spread":0.2658408081067014,"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."}}