{"id":"W2888760225","doi":"10.22374/1875-6859.14.3.11","title":"ELDERLY MEN AND HEALTH SERVICE PROVISION FOR TYPE 2 DIABETES MANAGEMENT: SYNTHESIS OF KNOWLEDGE GAPS AND IDENTIFICATION OF RESEARCH NEEDS","year":2018,"lang":"en","type":"article","venue":"Journal of Men s Health","topic":"Diabetes Management and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Medicine; Polypharmacy; Type 2 diabetes; Diabetes mellitus; Dementia; Intensive care medicine; Disease management; Diabetes management; Hypoglycemia; Kidney disease; Disease; Comorbidity; Population; Gerontology; Internal medicine; Environmental health; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00616229,0.00007225289,0.0003523022,0.000631775,0.0001143633,0.00001761839,0.0000885749,0.00003418833,0.000008705133],"category_scores_gemma":[0.000120485,0.00005988516,0.00002592835,0.000526125,0.00007049079,0.0001404596,0.00004112795,0.00009278831,0.000001952827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015196,"about_ca_system_score_gemma":0.0002531092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004088084,"about_ca_topic_score_gemma":0.000008613429,"domain_scores_codex":[0.9985406,0.0001338937,0.0006754581,0.0001138085,0.0003028107,0.0002334105],"domain_scores_gemma":[0.997981,0.0001623296,0.0006603184,0.0001630443,0.0008745495,0.0001587278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000770107,0.0009992953,0.02915976,0.03533849,0.000414357,3.917593e-7,0.01517211,5.928817e-7,0.003582216,0.001884166,0.08015112,0.8325274],"study_design_scores_gemma":[0.007127903,0.02734816,0.838113,0.01274356,0.0006493273,0.00001224708,0.04108258,0.002961969,0.02150783,0.005136081,0.04295852,0.0003588374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702308,0.005851618,0.00007508221,0.01974963,0.0002127143,0.001168579,0.000004718502,0.000006989791,0.002699936],"genre_scores_gemma":[0.9945224,0.00313092,0.001379064,0.0001509797,0.0002058397,0.000009746879,0.00000552048,0.00001370163,0.0005818428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8321686,"threshold_uncertainty_score":0.2442046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09032372333450915,"score_gpt":0.4377707591675691,"score_spread":0.34744703583306,"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."}}