{"id":"W7115807991","doi":"","title":"Development of Materials Strategies for Improving the Performance of Electrochemical and Photoelectrochemical Biosensors","year":2024,"lang":"","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Aptamer; Photocurrent; Nanomaterials; Nanosensor; Transduction (biophysics); Wearable computer; Graphene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256551,0.001259967,0.0004170924,0.0009642362,0.0003083101,0.0009917945,0.001029286,0.001553382,0.001686183],"category_scores_gemma":[0.0009971187,0.0007599156,0.0004924642,0.0005919543,0.0005399153,0.001861422,0.0006098595,0.00116879,0.001087975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158124,"about_ca_system_score_gemma":0.0006671399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005436365,"about_ca_topic_score_gemma":0.0009853842,"domain_scores_codex":[0.9994711,0.0000896998,0.00005295676,0.0001029188,0.000219633,0.00006377439],"domain_scores_gemma":[0.9995902,0.00009603067,0.00008960489,0.00003678829,0.0001577305,0.00002957946],"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":[0.00002123366,0.0000904297,0.0001510152,0.0004448151,0.0000185836,0.00008025867,0.00003790457,0.001024694,0.9616266,0.007626886,0.0004089843,0.02846858],"study_design_scores_gemma":[0.00002326405,0.0002597607,0.0004244266,0.00006681712,0.00003141011,0.0001756014,0.00004255507,0.005940812,0.9650578,0.001764877,0.02618484,0.00002777376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2772037,0.09284877,0.582388,0.006427233,0.002043008,0.0009392347,0.0004681125,0.001676252,0.03600564],"genre_scores_gemma":[0.5656864,0.03615647,0.3851989,0.001659925,0.0003073646,0.0007977223,0.0003105604,0.0001766544,0.00970604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001686183,"threshold_uncertainty_score":0.008402765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006714575093079164,"score_gpt":0.2198494605066656,"score_spread":0.2131348854135865,"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."}}