{"id":"W2929814923","doi":"10.23889/ijpds.v4i1.584","title":"Using Canadian administrative health data to measure the health of caregivers of children with and without health problems: A demonstration of feasibility.","year":2019,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ottawa Hospital; University of Manitoba; Statistics Canada; McGill University; University of British Columbia","funders":"","keywords":"Categorical variable; Medicine; Population; Medical diagnosis; Population health; Mood; Anxiety; Psychology; Environmental health; Gerontology; Psychiatry","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":[0.03475016,0.000934897,0.0006987079,0.004305733,0.002496882,0.002335,0.003375242,0.0007260117,0.002089178],"category_scores_gemma":[0.08693022,0.0008179873,0.001418994,0.01073276,0.0008743331,0.001031491,0.003105717,0.001217751,0.0006034002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01466251,"about_ca_system_score_gemma":0.03949533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9600141,"about_ca_topic_score_gemma":0.9665051,"domain_scores_codex":[0.9601465,0.01726023,0.002613624,0.00232502,0.01591494,0.00173964],"domain_scores_gemma":[0.9382411,0.01496622,0.005996581,0.007543451,0.03128154,0.001971234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000343794,0.0002650419,0.8834507,0.00081342,0.0008244196,0.000100383,0.003053432,0.001066836,0.0004250272,0.001627498,0.02036347,0.08766595],"study_design_scores_gemma":[0.0001123122,0.0001134591,0.9776807,0.0003327928,0.0001510132,0.00006615613,0.001911446,0.002978192,0.0002722368,0.0004006965,0.01591281,0.00006826293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6720301,0.009814246,0.04181244,0.01388703,0.0009428901,0.01468463,0.1649872,0.000829802,0.08101164],"genre_scores_gemma":[0.8945653,0.00371596,0.06244997,0.001551078,0.0001939228,0.006198913,0.02736657,0.00009567829,0.003862605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0399859,"threshold_uncertainty_score":0.1837786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618777708086559,"score_gpt":0.4701660191604838,"score_spread":0.2082882483518279,"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."}}