{"id":"W1587781423","doi":"","title":"CHARACTERIZATION OF A LONGITUDINAL CARE PLAN MODEL FOR MANAGING CHRONIC DISEASES: A CARE PLAN ONTOLOGY TO COMPUTERIZE PAPER- BASED CARE PLANS","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Diabetes Management and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Ontology; Computer science; Chronic care; Medicine; Process management; Business; Chronic disease; Intensive care medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003024553,0.0004504982,0.0003534878,0.002261167,0.001164935,0.003594786,0.001331726,0.001005337,0.002580158],"category_scores_gemma":[0.005284945,0.0004704485,0.002002455,0.002137071,0.0013575,0.00378229,0.001601686,0.001560139,0.0005262604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003108661,"about_ca_system_score_gemma":0.008104629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03137236,"about_ca_topic_score_gemma":0.03151437,"domain_scores_codex":[0.9979016,0.0005147714,0.0005049332,0.0003382136,0.0005910693,0.0001493719],"domain_scores_gemma":[0.9972724,0.0009075787,0.000319198,0.0005633978,0.0007533648,0.0001840664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001219525,0.0004464867,0.01135506,0.0008184213,0.0001699248,0.001148119,0.006614723,0.04716045,0.009483275,0.7366622,0.01956575,0.1664537],"study_design_scores_gemma":[0.0001367282,0.0001608609,0.008118598,0.001221576,0.0002993275,0.001805656,0.00353735,0.3418084,0.01269518,0.2283577,0.4016728,0.0001859084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02067612,0.000221215,0.9596729,0.002224175,0.0001107619,0.001142322,0.002759452,0.001342211,0.01185083],"genre_scores_gemma":[0.07662586,0.0002670283,0.9150442,0.0003185762,0.00002094152,0.0007539541,0.004000751,0.0001214295,0.002847213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03137236,"threshold_uncertainty_score":0.06237954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007074455540033778,"score_gpt":0.1768120471498836,"score_spread":0.1697375916098498,"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."}}