{"id":"W2753012844","doi":"","title":"Context Sensitive Health Informatics: Delivering 21st Century Healthcare - Building a Quality-and-Efficiency Driven System.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health informatics; Health care; Cornerstone; Context (archaeology); Informatics; Quality (philosophy); Health Administration Informatics; Computer science; Data science; Medicine; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0135875,0.000769076,0.0009129329,0.003375153,0.001927047,0.008279342,0.002263005,0.003365223,0.005501823],"category_scores_gemma":[0.03257162,0.0005993142,0.0008854289,0.003404573,0.00292625,0.01368794,0.0072297,0.003321738,0.002896212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152308,"about_ca_system_score_gemma":0.008697671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724923,"about_ca_topic_score_gemma":0.002134116,"domain_scores_codex":[0.9904721,0.0055659,0.0007679774,0.0006312858,0.002260482,0.0003022583],"domain_scores_gemma":[0.9767569,0.01444891,0.001501275,0.002915249,0.002492246,0.001885492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001070283,0.00028793,0.006905361,0.005076126,0.0003386671,0.000463134,0.00481425,0.002144622,0.007207264,0.1690034,0.1275937,0.6760585],"study_design_scores_gemma":[0.00007858682,0.0003000679,0.006376066,0.004321654,0.0003009182,0.001175249,0.004734306,0.00697883,0.00564305,0.3349754,0.6349255,0.0001904906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02152083,0.0800623,0.6054732,0.1926907,0.005651924,0.001709657,0.001890709,0.006987636,0.08401311],"genre_scores_gemma":[0.2485236,0.06099049,0.6279895,0.04055187,0.005445322,0.001098502,0.002636321,0.0006973708,0.01206694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135875,"threshold_uncertainty_score":0.07185847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106859169096328,"score_gpt":0.4165120810053812,"score_spread":0.3096529119090532,"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."}}