{"id":"W2160220602","doi":"10.1503/cmaj.071413","title":"Exercising privacy rights in medical science","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Medical Association","keywords":"Safeguarding; Anonymity; Internet privacy; Humiliation; Personally identifiable information; Computer science; Information privacy; Computer security; Privacy laws of the United States; Stockpile; The Internet; World Wide Web; Law; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02912201,0.00009237592,0.0001663123,0.0006418187,0.001841519,0.000293592,0.001200395,0.0005254138,0.003401255],"category_scores_gemma":[0.03038136,0.00008977256,0.00005197136,0.001330393,0.0004045095,0.000784726,0.00008081532,0.001358899,0.0001274425],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004135992,"about_ca_system_score_gemma":0.01249887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1084022,"about_ca_topic_score_gemma":0.7174505,"domain_scores_codex":[0.9930208,0.0002781961,0.0005075139,0.0002233439,0.004900168,0.001069928],"domain_scores_gemma":[0.9954295,0.0003098122,0.0001828477,0.0001388411,0.000399145,0.003539899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004393787,0.0002677404,0.2320544,0.00001453393,0.00004435493,0.00437368,0.03399511,0.000001442366,0.00004575032,0.08167227,0.08635292,0.5611339],"study_design_scores_gemma":[0.00071216,0.00002077742,0.064041,0.0001247864,0.000005037412,0.000107641,0.001606889,0.0001123922,0.00003874207,0.01436601,0.9186567,0.0002078473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919511,0.00027313,0.001924907,0.1065388,0.005701693,0.0003541601,0.000008596904,0.00007868121,0.09316898],"genre_scores_gemma":[0.993634,0.0001223014,0.000212786,0.003203092,0.002692433,0.000001774138,0.000002077134,0.00000520563,0.0001263064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8323038,"threshold_uncertainty_score":0.9997232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650910590060405,"score_gpt":0.3117973181461165,"score_spread":0.2952882122455124,"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."}}