{"id":"W2342021671","doi":"10.12927/cjnl.2016.24563","title":"Informatics and Nursing in a Post-Nursing Informatics World: Future Directions for Nurses in an Automated, Artificially-Intelligent, Social-Networked Healthcare Environment","year":2016,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Health informatics; Health Administration Informatics; Informatics; Nursing; Health care; Engineering informatics; Specialty; Nursing research; Medicine; Psychology; Political science; Family medicine; 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":[0.01151497,0.0004451337,0.0004705117,0.001807043,0.007128803,0.01681416,0.001522852,0.005998223,0.005075585],"category_scores_gemma":[0.008104111,0.000224405,0.0004708886,0.001584456,0.0202366,0.0198538,0.007641179,0.007060174,0.0009151777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005346442,"about_ca_system_score_gemma":0.01780045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002618289,"about_ca_topic_score_gemma":0.00761131,"domain_scores_codex":[0.9941449,0.00408145,0.0001943773,0.0002094533,0.0007465919,0.0006232907],"domain_scores_gemma":[0.9810075,0.0109216,0.001287543,0.0006015396,0.002351595,0.003830091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001033397,0.0007089935,0.01390406,0.001318215,0.00002797359,0.001128996,0.1215793,0.0003633148,0.0008280461,0.5627826,0.05167311,0.2455821],"study_design_scores_gemma":[0.00002282731,0.000257411,0.00835977,0.00298587,0.00001887235,0.001443316,0.300644,0.0006543128,0.0005633385,0.2095211,0.4754142,0.0001149739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02842216,0.07372604,0.006857821,0.8306476,0.004896037,0.00007611568,0.00002124395,0.00007328536,0.05527966],"genre_scores_gemma":[0.6521099,0.1664408,0.02508855,0.1135721,0.007548384,0.0004202465,0.00007865345,0.00006825246,0.03467308],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01681416,"threshold_uncertainty_score":0.06089777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303378666192082,"score_gpt":0.3931886061788023,"score_spread":0.262850739559594,"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."}}