{"id":"W4412396605","doi":"10.2139/ssrn.5348334","title":"Dual-Signal-Amplifying Conductive Covalent Organic Frameworks Enabling Ultrasensitive Electrochemical Sesame Allergen Ses I 2 Biosensing","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"SIGNAL (programming language); Dual (grammatical number); Biosensor; Covalent bond; Electrochemistry; Nanotechnology; Chemistry; Optoelectronics; Materials science; Computer science; Electrode; Organic chemistry; Physical chemistry","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":[0.0001499565,0.0003815532,0.0001587411,0.0001782654,0.0001169598,0.0004418502,0.0004400381,0.0006064557,0.001496824],"category_scores_gemma":[0.0002475456,0.0002017353,0.0001682114,0.000128733,0.0002324166,0.0004383724,0.0004966193,0.0004760328,0.0003971046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243214,"about_ca_system_score_gemma":0.0001005633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002327776,"about_ca_topic_score_gemma":0.00072395,"domain_scores_codex":[0.9998552,0.00001144779,0.000004335379,0.00003409487,0.00005515945,0.00003978757],"domain_scores_gemma":[0.9999104,0.00002577324,0.00001954777,0.000009623,0.00001788483,0.00001683616],"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":[0.00002361793,0.000008450805,0.00003032845,0.00002745913,0.000002624226,0.00004252516,0.00001133036,0.0001233633,0.9960813,0.0004805937,0.00007574274,0.003092627],"study_design_scores_gemma":[0.000003230213,0.00004446246,0.0001605384,0.000001622993,0.000004002056,0.00005083242,0.000006786471,0.001437034,0.9966193,0.00008660032,0.001580541,0.000004911691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312934,0.001983385,0.05517693,0.0003687642,0.0001956255,0.00006478228,0.0002773329,0.0008033063,0.009836613],"genre_scores_gemma":[0.9791453,0.0004331965,0.01564002,0.0001000178,0.00002149648,0.00001859607,0.00007491789,0.00002995699,0.004536544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001496824,"threshold_uncertainty_score":0.005007386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703568517887724,"score_gpt":0.2780472180019311,"score_spread":0.2610115328230538,"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."}}