{"id":"W1993554549","doi":"10.1080/15265160500506522","title":"Medical Confidentiality and Protection of Third Party Interests","year":2006,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Confidentiality; Internet privacy; Third party; Business; Political science; Computer security; Law and economics; Law; Sociology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02301299,0.0006840194,0.00126265,0.0006360809,0.009634544,0.009522756,0.002737101,0.09734634,0.005195078],"category_scores_gemma":[0.05649286,0.0007662792,0.0014233,0.0008745069,0.01374317,0.008895172,0.006288558,0.06691448,0.002807334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007965449,"about_ca_system_score_gemma":0.0187591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894188,"about_ca_topic_score_gemma":0.02774755,"domain_scores_codex":[0.9743269,0.01008652,0.001964506,0.002588135,0.007743093,0.003290795],"domain_scores_gemma":[0.9755841,0.01651209,0.001937343,0.001532761,0.002826122,0.001607576],"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":[0.00005933643,0.00003663568,0.0004734005,0.0001488364,0.00002284316,0.001691524,0.003445714,0.0001744349,0.0005718191,0.4332114,0.5447085,0.01545563],"study_design_scores_gemma":[0.00008120156,0.00006695382,0.0008451936,0.001056607,0.00002274156,0.00183414,0.001653452,0.0005248748,0.0007515562,0.1153628,0.8777145,0.00008591435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009138648,0.003317669,0.000747283,0.9674525,0.004080927,0.00001735688,0.00003522025,0.00001771362,0.0234175],"genre_scores_gemma":[0.01444372,0.001331213,0.0007557775,0.9725844,0.003938243,0.00004302583,0.00001816038,0.00001160102,0.00687386],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09734634,"threshold_uncertainty_score":0.1217058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341007478889791,"score_gpt":0.3600737165123911,"score_spread":0.2666636417234932,"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."}}