{"id":"W3029644916","doi":"10.1177/0733464820920102","title":"Development and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Wilfrid Laurier University; Winnipeg Regional Health Authority; University of British Columbia; Island Health; University of Waterloo; Fraser Health","funders":"Alzheimer Society","keywords":"Caregiver burden; Confidence interval; Odds ratio; Medicine; Risk assessment; Sample (material); Gerontology; Psychology; Family medicine; Dementia; Computer science; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01630831,0.001260245,0.001346211,0.004847571,0.0007961311,0.002032326,0.001361503,0.000839998,0.001749917],"category_scores_gemma":[0.04275347,0.000466115,0.001688457,0.001408265,0.0004235065,0.001608585,0.002556647,0.001146004,0.0005991166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623639,"about_ca_system_score_gemma":0.003719084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766766,"about_ca_topic_score_gemma":0.008291728,"domain_scores_codex":[0.9893993,0.004537004,0.001983373,0.000757352,0.002995164,0.0003278417],"domain_scores_gemma":[0.9782636,0.008226071,0.003740396,0.0007485213,0.008523294,0.0004981375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001055016,0.0006492099,0.5927953,0.000667054,0.0005144259,0.0001181349,0.000967372,0.0050507,0.0009264259,0.001610259,0.01292465,0.3827214],"study_design_scores_gemma":[0.001212106,0.002274082,0.802335,0.002250024,0.001084575,0.001880233,0.001937597,0.1441734,0.005775938,0.008414084,0.02832566,0.0003373256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6446379,0.004620467,0.3046128,0.003226053,0.0005248934,0.01803438,0.006860671,0.002463741,0.01501916],"genre_scores_gemma":[0.4684781,0.001058604,0.5144332,0.0004613528,0.00008755234,0.00883884,0.004580449,0.0001140589,0.001947751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01630831,"threshold_uncertainty_score":0.08624762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0839754527406574,"score_gpt":0.3888395820748713,"score_spread":0.3048641293342139,"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."}}