{"id":"W4308924540","doi":"10.1016/j.jcjd.2022.09.085","title":"A Minimally-invasive Hydrogel-based Microneedle Sensor for Non-enzymatic Monitoring of Glucose","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Biomedical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001610473,0.0002836272,0.0003278364,0.0001634198,0.0001548544,0.000249609,0.0005702015,0.0006439191,0.00055974],"category_scores_gemma":[0.0002163721,0.0001671197,0.000215388,0.0001267097,0.0001354186,0.0004345555,0.000399781,0.0003927922,0.0003108931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981909,"about_ca_system_score_gemma":0.0002577011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004144996,"about_ca_topic_score_gemma":0.001153254,"domain_scores_codex":[0.9998037,0.00001399483,0.00001170943,0.00005380712,0.00009564788,0.00002106675],"domain_scores_gemma":[0.9998661,0.00003706026,0.00003032861,0.00001094762,0.00003067485,0.00002492944],"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":[0.0000156888,0.000006673496,0.00003600856,0.00003361546,0.000001883621,0.000021311,0.000005014709,0.00002503209,0.9968059,0.00004639106,0.00008248786,0.002919988],"study_design_scores_gemma":[0.000005024887,0.00008022525,0.0005336523,0.000003392715,0.000007596034,0.000196336,0.000005830289,0.001632135,0.995723,0.00002326713,0.001779212,0.00001040777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.787272,0.01198982,0.1904999,0.001090368,0.0007514504,0.0002303539,0.001164982,0.001482876,0.005518207],"genre_scores_gemma":[0.8432516,0.00306413,0.1448437,0.0008011748,0.0001224288,0.0001519365,0.0004291344,0.00005084116,0.007285077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006439191,"threshold_uncertainty_score":0.002889097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007082717410122901,"score_gpt":0.1879597445766138,"score_spread":0.1808770271664909,"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."}}