{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.146177,0.0005292741,0.001292784,0.00413527,0.006436428,0.01104032,0.002160941,0.006376446,0.00299548],"category_scores_gemma":[0.2623063,0.0009616054,0.001199735,0.003455978,0.05332914,0.01609824,0.01055353,0.007084665,0.0005216607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004070598,"about_ca_system_score_gemma":0.01130271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00242284,"about_ca_topic_score_gemma":0.001735221,"domain_scores_codex":[0.8406139,0.1276786,0.007174951,0.005953623,0.01634809,0.002230837],"domain_scores_gemma":[0.607503,0.307948,0.01608098,0.05794242,0.007914368,0.002611197],"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":[0.0001277606,0.00006931095,0.006472847,0.0002331806,0.00005066508,0.0003089129,0.007491436,0.002082446,0.000631261,0.9337276,0.001872019,0.04693248],"study_design_scores_gemma":[0.00006205433,0.0001045127,0.001293833,0.0002591502,0.00002785891,0.0003660709,0.000906716,0.002406776,0.001166833,0.9769374,0.01643197,0.00003688137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1629268,0.00965779,0.460007,0.2115632,0.001188996,0.001184742,0.0005743937,0.0003359608,0.1525611],"genre_scores_gemma":[0.9076325,0.001997672,0.07846716,0.007860122,0.0008286574,0.0006965176,0.00008112223,0.00004238122,0.002393914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9935636,"threshold_uncertainty_score":0.7730672,"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."}}