{"id":"W2474731875","doi":"10.1080/10376178.2016.1213649","title":"Older people home care through electronic health records: functions, data elements and security needs","year":2016,"lang":"en","type":"article","venue":"Contemporary Nurse","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Legislation; Health care; Medicine; Electronic health record; Data collection; Unique identifier; Nursing; Identifier; Internet privacy; Business; Computer science; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005866011,0.00008588649,0.0003497417,0.002469374,0.0009066193,0.002282033,0.0003110666,0.0004461474,0.002100635],"category_scores_gemma":[0.02470727,0.0001134609,0.0002687925,0.004081405,0.0007667522,0.002727873,0.001425834,0.0002620436,0.0001635115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978644,"about_ca_system_score_gemma":0.002993589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450023,"about_ca_topic_score_gemma":0.01982986,"domain_scores_codex":[0.9962443,0.001670636,0.0006608063,0.0001754821,0.0009577393,0.0002910734],"domain_scores_gemma":[0.9872109,0.006666304,0.003166538,0.0002597221,0.002213484,0.0004830568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002376685,0.0001989848,0.815202,0.002779943,0.0001129448,0.0004539695,0.05320734,0.00007557936,0.0003990225,0.002227135,0.001048082,0.1240573],"study_design_scores_gemma":[0.00001575586,0.0003994723,0.8846253,0.003040905,0.0001359792,0.001265405,0.09957554,0.0002250549,0.0003903525,0.001093721,0.009205782,0.00002677336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886864,0.005113191,0.0002132381,0.001559241,0.00001210222,0.00004406885,0.0002691755,0.000004461956,0.004097996],"genre_scores_gemma":[0.9961665,0.002719437,0.0004174125,0.0002335368,0.00001307758,0.00002555036,0.0001196071,0.000001674144,0.0003032993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450023,"threshold_uncertainty_score":0.03102279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06541267083682545,"score_gpt":0.4061827511514247,"score_spread":0.3407700803145992,"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."}}