{"id":"W2009197866","doi":"10.1016/j.ijmedinf.2003.11.007","title":"The legal acknowledgement of the electronic signature: a key for a secure direct access of patients to their computerised medical record","year":2004,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Acknowledgement; Electronic signature; Key (lock); Computer security; Internet privacy; Signature (topology); Digital signature; Confidentiality; Computer science; Electronic health record; Medicine; Health care; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004532262,0.0001219023,0.000370568,0.00007970838,0.0002078482,0.00001610246,0.002001572,0.000362417,0.0001494025],"category_scores_gemma":[0.005306484,0.00005804577,0.000229857,0.0001953276,0.0001364921,0.0001841387,0.0003581594,0.001716192,0.000003675764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380073,"about_ca_system_score_gemma":0.004698474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003421332,"about_ca_topic_score_gemma":0.0002111449,"domain_scores_codex":[0.9946598,0.000240773,0.001996015,0.00005675113,0.002702396,0.0003442426],"domain_scores_gemma":[0.9945813,0.001660962,0.001288997,0.0001698867,0.001978478,0.0003203633],"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":[0.002535223,0.002142654,0.01680182,0.002301769,0.002710317,0.00001337358,0.1938595,0.0003861286,0.00001951383,0.03642757,0.4394002,0.3034019],"study_design_scores_gemma":[0.01220258,0.001460121,0.009874884,0.005376283,0.00007954842,0.00001593666,0.00988276,0.005229168,0.0002202262,0.003203277,0.9522504,0.0002048053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880798,0.0002123486,0.04265117,0.05766407,0.008619296,0.001362802,0.00007326929,0.00001330639,0.00132395],"genre_scores_gemma":[0.9827444,0.0007219469,0.0007096101,0.01461387,0.001114892,0.00002630027,0.00001014778,0.00001286352,0.00004596588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128502,"threshold_uncertainty_score":0.8334892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569930219190359,"score_gpt":0.4139673795261709,"score_spread":0.3882680773342673,"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."}}