{"id":"W1592148562","doi":"10.1089/dia.2014.0229","title":"In Vivo Performance and Biocompatibility of a Subcutaneous Implant for Real-Time Glucose-Responsive Insulin Delivery","year":2015,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Sanofi","keywords":"In vivo; Biocompatibility; Medicine; PEG ratio; Implant; Insulin; Diabetes mellitus; Immune system; Glycemic; Insulin delivery; Subcutaneous tissue; Biomedical engineering; PEGylation; Internal medicine; Endocrinology; Pharmacology; Type 1 diabetes; Immunology; Chemistry; Surgery; Biology","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":[0.0002746683,0.0005013222,0.0002107255,0.0002292172,0.00006190823,0.0002279107,0.0002043441,0.000371899,0.0003873465],"category_scores_gemma":[0.0002601696,0.0001704005,0.0002696226,0.0001179878,0.0001449208,0.000224456,0.0001115554,0.0002926764,0.0001254377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222241,"about_ca_system_score_gemma":0.0001215198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000128086,"about_ca_topic_score_gemma":0.000144003,"domain_scores_codex":[0.9998696,0.00001459656,0.00001324545,0.00003390709,0.00004266088,0.00002605158],"domain_scores_gemma":[0.9997892,0.00005848721,0.00007897435,0.00002645007,0.00002170269,0.0000251478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005371399,0.00003563782,0.00007621581,0.00001905006,0.000002332444,0.00002334673,0.000005680753,0.00006097584,0.9985644,0.00001114629,0.000009475694,0.001137969],"study_design_scores_gemma":[0.00001111407,0.0009855913,0.001737963,0.000002844151,0.00001527271,0.000116271,0.000006952005,0.0008563843,0.9958569,0.000008537333,0.0003969248,0.000005027059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855465,0.0009392308,0.01265465,0.00005199579,0.00007936778,0.00005245805,0.0001225496,0.0001011553,0.000452138],"genre_scores_gemma":[0.9854016,0.0006799872,0.01261357,0.00004143363,0.00001911673,0.00007427014,0.0001483467,0.00002655477,0.0009949583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005013222,"threshold_uncertainty_score":0.001452625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000682798725996,"score_gpt":0.2629195057180123,"score_spread":0.2429126777307524,"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."}}