{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01884178,0.0009039651,0.003568096,0.005556643,0.001064846,0.005441115,0.001329927,0.00270573,0.007805697],"category_scores_gemma":[0.05243762,0.0008583263,0.002418645,0.008403011,0.001013203,0.005376942,0.002727075,0.002577114,0.0005253376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006128773,"about_ca_system_score_gemma":0.02644975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02701288,"about_ca_topic_score_gemma":0.05295392,"domain_scores_codex":[0.9925905,0.003679758,0.001736842,0.0005500068,0.0008891979,0.0005536288],"domain_scores_gemma":[0.9318272,0.05190423,0.006671552,0.0007061872,0.006962426,0.001928406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006906328,0.0006024984,0.04517487,0.2978791,0.004597665,0.0003097698,0.005094872,0.0008365061,0.0001357178,0.00859879,0.02339322,0.6126863],"study_design_scores_gemma":[0.0003723238,0.0006721587,0.08642352,0.7586339,0.009983186,0.0003246629,0.01896677,0.001305627,0.0001495889,0.007960819,0.1150552,0.0001523329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007102767,0.9617333,0.0003082025,0.02755243,0.0006843186,0.0002104095,0.0008554194,0.00001169215,0.001541458],"genre_scores_gemma":[0.09239507,0.8960573,0.002361411,0.006807449,0.001019985,0.000657554,0.0005269577,0.00000879511,0.000165417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02701288,"threshold_uncertainty_score":0.09964603,"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."}}