{"id":"W2897347858","doi":"10.1111/dom.13412","title":"Implementing personalized medicine in diabetic kidney disease: Stakeholders' perspectives","year":2018,"lang":"en","type":"review","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Innovative Medicines Initiative; European Commission; European Federation of Pharmaceutical Industries and Associations","keywords":"Personalized medicine; Medicine; Precision medicine; Intensive care medicine; Disease; Alternative medicine; Health care; Clinical Practice; Diabetes mellitus; MEDLINE; Family medicine; Bioinformatics; Pathology","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":[0.005171917,0.0005197857,0.0009316133,0.001352341,0.000677961,0.002822799,0.001078921,0.002983847,0.003341135],"category_scores_gemma":[0.006696308,0.0001936394,0.0008733752,0.001832057,0.0009518135,0.002871672,0.0018386,0.003140351,0.0007564026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359715,"about_ca_system_score_gemma":0.005627161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198186,"about_ca_topic_score_gemma":0.004256306,"domain_scores_codex":[0.9970203,0.001739552,0.0002772722,0.0001393488,0.0006176241,0.0002058964],"domain_scores_gemma":[0.9960312,0.002670187,0.0002504805,0.00007708668,0.0007594796,0.0002114591],"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":[0.00005413555,0.00007735718,0.0004918813,0.04042782,0.0002232492,0.0006555137,0.001955835,0.000465857,0.0007177123,0.03477192,0.052583,0.8675758],"study_design_scores_gemma":[0.00001240887,0.00004837463,0.0006009164,0.02614466,0.0001523413,0.000938846,0.00143467,0.0001038814,0.0002269425,0.008790542,0.9615237,0.00002269537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004068175,0.9675606,0.0009153814,0.02449043,0.0008931091,0.00002497397,0.00003064349,0.0000119387,0.005666068],"genre_scores_gemma":[0.007220466,0.9835514,0.001447649,0.006379731,0.0004306181,0.00003523622,0.00003304434,0.000004083013,0.000897664],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005171917,"threshold_uncertainty_score":0.02735198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04989399605290109,"score_gpt":0.3150990897770885,"score_spread":0.2652050937241874,"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."}}