{"id":"W2529737291","doi":"10.1186/s12913-016-1806-7","title":"Circle of care modelling: an approach to assist in reasoning about healthcare change using a patient-centric system","year":2016,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Canadian Institutes of Health Research; Institute of Health Services and Policy Research; University of British Columbia","keywords":"Health informatics; Health administration; Health care; Process management; Process (computing); Soft systems methodology; Conceptual framework; Nursing research; Knowledge management; Information system; Information and Communications Technology; Conceptual model; Medicine; Computer science; Nursing; Public health; Business; Sociology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009116177,0.000365571,0.001246804,0.001621909,0.001581206,0.00002722392,0.0009280682,0.0005669944,0.00001597264],"category_scores_gemma":[0.00008685324,0.0003112185,0.00009256556,0.003043835,0.00006158718,0.0004448861,0.0004203851,0.001472024,0.0001035903],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007520322,"about_ca_system_score_gemma":0.00799268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1210363,"about_ca_topic_score_gemma":0.02210289,"domain_scores_codex":[0.9791389,0.01082966,0.00258365,0.001312259,0.001924171,0.004211402],"domain_scores_gemma":[0.9929562,0.0009998484,0.0008695325,0.001482957,0.001830207,0.001861258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009105164,0.0004611046,0.5967982,0.1839643,0.00001926269,0.000009104338,0.1757502,0.0005437988,0.000076554,0.003288117,0.00002333288,0.03815547],"study_design_scores_gemma":[0.006060318,0.003697655,0.1499547,0.09651636,0.00001425241,0.00002645223,0.5260858,0.2119003,0.00004779575,0.00008112136,0.004438163,0.00117712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706561,0.01039543,0.004782037,0.0005184964,0.0006554131,0.0114859,0.0001936403,0.000199767,0.001113234],"genre_scores_gemma":[0.9907984,0.0002889207,0.005299075,0.0006714317,0.0006742564,0.002032409,0.00004915199,0.0001458272,0.00004054893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4468436,"threshold_uncertainty_score":0.999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2501111225485936,"score_gpt":0.5042839804997735,"score_spread":0.2541728579511799,"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."}}