{"id":"W4312113792","doi":"10.1177/08404704221139383","title":"Health technology, quality and safety in a learning health system","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Quality (philosophy); Health informatics; Digital health; Informatics; Health information technology; Patient safety; Computer science; Occupational safety and health; Health care; Health Administration Informatics; Public health informatics; Knowledge management; Risk analysis (engineering); Data science; Business; HRHIS; Medicine; Health education; Nursing; Engineering; Public health; Political science","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01442871,0.0003794805,0.001299366,0.001209691,0.005907646,0.00001328768,0.0004492748,0.0002005046,0.00007400582],"category_scores_gemma":[0.00007708224,0.0004207555,0.00007421534,0.00191735,0.00006721207,0.0001040632,0.001295641,0.003627974,0.00006624075],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01092823,"about_ca_system_score_gemma":0.002004495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03170187,"about_ca_topic_score_gemma":0.02497349,"domain_scores_codex":[0.9831568,0.008531738,0.003080052,0.001106774,0.0008088837,0.003315745],"domain_scores_gemma":[0.996685,0.0003450732,0.001518559,0.0008033458,0.00008254548,0.0005655115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002364939,0.0001091005,0.4614126,0.02188848,0.00004354415,0.00003111316,0.003576988,0.00007336315,5.581728e-7,0.3721675,0.007541695,0.1329185],"study_design_scores_gemma":[0.003161325,0.001306128,0.05947411,0.001670539,0.000004488474,0.0000364969,0.237197,0.0006516112,1.163436e-7,0.0009690957,0.6950982,0.0004309561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03350729,0.021819,0.001218654,0.9120835,0.0027577,0.01591416,0.0001445136,0.001942529,0.01061263],"genre_scores_gemma":[0.9731395,0.001925966,0.0005536639,0.01764788,0.0001016543,0.003495216,0.0001038789,0.000102424,0.002929799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9396322,"threshold_uncertainty_score":0.9998244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638187480093487,"score_gpt":0.4489848044034403,"score_spread":0.3851660563940916,"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."}}