{"id":"W4412513401","doi":"10.1149/ma2025-01602840mtgabs","title":"(<i>Invited</i>) Biorecognition Strategies for Electrochemical and Electro-Optical Biowearables","year":2025,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrochemistry; Nanotechnology; Materials science; Chemistry; Electrode","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":[0.0003564325,0.001034405,0.0004326381,0.0007101914,0.0006533496,0.001068847,0.001030002,0.001608317,0.03056898],"category_scores_gemma":[0.0003476277,0.0002702534,0.0005788096,0.0004396155,0.0005959524,0.001043783,0.0009939664,0.001428341,0.0127885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330666,"about_ca_system_score_gemma":0.0002275822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007816394,"about_ca_topic_score_gemma":0.001581924,"domain_scores_codex":[0.9997221,0.00002319535,0.000009046696,0.00005242333,0.0001313354,0.00006189987],"domain_scores_gemma":[0.9998252,0.00002672527,0.00001765994,0.00001124191,0.00008728383,0.00003204984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003941013,0.0001165806,0.0001822425,0.0009455252,0.00004123501,0.0006512578,0.0001334532,0.0004844075,0.2533268,0.01294877,0.6484519,0.08232373],"study_design_scores_gemma":[0.00004359058,0.0001752352,0.000592649,0.0001000953,0.00002445798,0.0005582956,0.00008833456,0.001626016,0.1564271,0.00235503,0.8379604,0.00004884424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.04543729,0.1598341,0.1064584,0.0523252,0.2285847,0.0009031877,0.002453625,0.004759343,0.3992441],"genre_scores_gemma":[0.1707683,0.06268828,0.03437315,0.02246822,0.03225248,0.001014258,0.003000204,0.001330504,0.6721047],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03056898,"threshold_uncertainty_score":0.1022635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336829049673917,"score_gpt":0.2298124740115973,"score_spread":0.2204756449619234,"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."}}