{"id":"W4390944983","doi":"10.5334/ijic.icic23139","title":"Building a Better System to Support Family Caregivers: Engaging Multi-level Interdisciplinary Stakeholders in Micro, Meso, and Macro Level Learning Health System Design.  ","year":2023,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Health care; Workforce; Operationalization; Integrated care; Nursing; Workload; Knowledge management; Business; Public relations; Medicine; Psychology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01680413,0.0008381819,0.0003312208,0.001215737,0.006407171,0.007689365,0.002314919,0.001940094,0.006727659],"category_scores_gemma":[0.01498177,0.0004791616,0.0006725207,0.0005183694,0.00521739,0.00552845,0.01194447,0.002735953,0.001367097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008451611,"about_ca_system_score_gemma":0.03761062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0150013,"about_ca_topic_score_gemma":0.02829988,"domain_scores_codex":[0.9871318,0.009324605,0.0002797071,0.0006761095,0.00118829,0.001399385],"domain_scores_gemma":[0.9934573,0.002291527,0.0003625909,0.0004453372,0.0008376624,0.002605582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002747556,0.00275224,0.02771507,0.003090822,0.000273431,0.000946857,0.1452926,0.009358219,0.01007728,0.0603106,0.05047221,0.689436],"study_design_scores_gemma":[0.0006545272,0.003367753,0.03104171,0.005401174,0.0005086634,0.0008777323,0.3126423,0.02884382,0.01519001,0.1452362,0.4558893,0.0003467857],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2845635,0.004477083,0.43341,0.1307496,0.00147171,0.009139461,0.0005542063,0.002774812,0.1328595],"genre_scores_gemma":[0.6481768,0.001460297,0.3311603,0.007599063,0.0001065835,0.00214667,0.0002148222,0.0002081394,0.008927316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01680413,"threshold_uncertainty_score":0.08886981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2405509377238343,"score_gpt":0.4516072119465318,"score_spread":0.2110562742226975,"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."}}