{"id":"W3153830039","doi":"10.71781/1912","title":"The right to privacy through the development of smart technologies : how our personal health data is affected","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; United Nations","keywords":"Internet privacy; Personally identifiable information; Information privacy; Psychology; Computer science; Business; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01082917,0.0004295697,0.0004529067,0.001728447,0.004405474,0.01651145,0.001488419,0.005378802,0.007707776],"category_scores_gemma":[0.02714056,0.0005797692,0.001051669,0.002011864,0.01342423,0.01964146,0.008997653,0.005387449,0.001535367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004085848,"about_ca_system_score_gemma":0.004109929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672726,"about_ca_topic_score_gemma":0.004080738,"domain_scores_codex":[0.9846163,0.009553935,0.0004228554,0.001317528,0.002760925,0.001328365],"domain_scores_gemma":[0.9786909,0.01365191,0.001928768,0.002745733,0.001888314,0.00109443],"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":[0.0001475369,0.0001144958,0.01553976,0.0004128926,0.0001336243,0.001044375,0.0279511,0.001897647,0.001150824,0.8372431,0.02303731,0.09132726],"study_design_scores_gemma":[0.00003939233,0.0001387793,0.008425576,0.00114761,0.0001206906,0.001723938,0.02000659,0.003184478,0.002459642,0.5179254,0.4447002,0.0001276084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1231104,0.03525812,0.06741656,0.3738694,0.002158866,0.0001910848,0.0009038633,0.0002870781,0.3968047],"genre_scores_gemma":[0.9358261,0.01604504,0.007054909,0.01749374,0.0008699707,0.0001281998,0.0001789956,0.000124973,0.02227815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01651145,"threshold_uncertainty_score":0.05727088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1723902840470044,"score_gpt":0.4049425137586041,"score_spread":0.2325522297115997,"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."}}