{"id":"W2339258180","doi":"10.12927/cjnl.2016.24556","title":"Past, Present and Future: The Outlook from Mid-Career Nurse Informaticians","year":2016,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario HIV Treatment Network; Sciencetech (Canada)","funders":"","keywords":"Chose; Nursing; Career path; Informatics; Career development; Health informatics; Focus (optics); Medical education; Psychology; Political science; Medicine; Management; Public health","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.004926298,0.0002725639,0.0002885671,0.001075135,0.004063779,0.008293273,0.0006381794,0.00288625,0.006241224],"category_scores_gemma":[0.004583413,0.0002009923,0.0003004255,0.001037533,0.002251983,0.01080052,0.003627467,0.004280142,0.001426425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554532,"about_ca_system_score_gemma":0.005815789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005427901,"about_ca_topic_score_gemma":0.01642276,"domain_scores_codex":[0.9983112,0.0007677121,0.00008919152,0.0001265949,0.0002869078,0.0004185151],"domain_scores_gemma":[0.9938802,0.001278321,0.0004456252,0.00008488597,0.0009325377,0.003378496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005154179,0.000469638,0.03995555,0.00186005,0.00002902012,0.001980429,0.07027949,0.0002561873,0.001172964,0.0807789,0.1498384,0.6528639],"study_design_scores_gemma":[0.00001430437,0.0003961899,0.02702955,0.003702348,0.00001826573,0.003090667,0.2217192,0.000330403,0.000453195,0.02045456,0.72268,0.0001113918],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09942373,0.3427989,0.0009053925,0.4916347,0.006483762,0.00001641373,0.0003477244,0.00008034846,0.05830897],"genre_scores_gemma":[0.6857236,0.2449757,0.002308183,0.04581436,0.002961117,0.0000512738,0.0003479171,0.00003936982,0.01777845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008293273,"threshold_uncertainty_score":0.02605307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2327648675737861,"score_gpt":0.3915012374482843,"score_spread":0.1587363698744982,"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."}}