{"id":"W4416422967","doi":"10.1021/acsmeasuresciau.5c00136","title":"Hydrogels for Analyte Sensing","year":2025,"lang":"en","type":"article","venue":"ACS Measurement Science Au","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Faculté de pharmacie, Université de Montréal","keywords":"Self-healing hydrogels; Analyte; Leverage (statistics); Multiplexing; Optical sensing; Nanoporous; Electrical conductor; Optical fiber","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002103124,0.0001194138,0.0001097691,0.0001092613,0.0004594388,0.00005942766,0.0004353229,0.0000563248,0.000002094762],"category_scores_gemma":[0.0008949268,0.0001095343,0.00006463958,0.0004206129,0.0003239475,0.00001023248,0.0001171164,0.00003926232,0.0000120939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202681,"about_ca_system_score_gemma":0.0009889675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006248707,"about_ca_topic_score_gemma":0.0001290851,"domain_scores_codex":[0.9984059,0.00002452697,0.0002005631,0.0004910711,0.0005020842,0.0003758448],"domain_scores_gemma":[0.998755,0.000008308109,0.0000622361,0.0005637731,0.0005343016,0.00007640602],"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":[0.00001031271,0.00002562157,0.0003846939,0.000009590903,0.00002318978,8.848343e-8,0.00002813526,0.00006481314,0.9837654,0.0001789409,0.0007350353,0.01477415],"study_design_scores_gemma":[0.000164884,0.00003449449,0.0007365353,0.00002293322,0.00002774025,0.000001231403,0.00004985751,0.000438964,0.9434123,0.0002843089,0.05470064,0.0001261111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134873,0.0004724581,0.07431525,0.002040848,0.0002486304,0.0007786119,0.000007402409,0.00003870784,0.00861078],"genre_scores_gemma":[0.9965683,0.00001389667,0.002336712,0.0005686824,0.00007533269,0.00005187174,0.000004097523,0.000009352059,0.0003717718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08308097,"threshold_uncertainty_score":0.446668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454900947837308,"score_gpt":0.2874310870750016,"score_spread":0.2428820775966285,"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."}}