{"id":"W2995618605","doi":"10.3390/bios9040144","title":"Carbon Nanotube-Based Electrochemical Biosensor for Label-Free Protein Detection","year":2019,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Biosensor; Carbon nanotube; Detection limit; Bovine serum albumin; Nanotechnology; Computer science; Chemistry; Materials science; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001697592,0.0002799909,0.0002515502,0.0001062467,0.000075214,0.00002435735,0.0002314422,0.000357942,0.000001661349],"category_scores_gemma":[0.0002171046,0.0002527244,0.000198273,0.0002057411,0.00008383191,0.000003142417,0.00005781075,0.0001145699,0.00000617717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004538571,"about_ca_system_score_gemma":0.00005430083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059354,"about_ca_topic_score_gemma":0.00002737874,"domain_scores_codex":[0.9984301,0.00005505657,0.0002677395,0.0006381355,0.0001796427,0.0004293376],"domain_scores_gemma":[0.9988472,0.00002147027,0.0001352388,0.0007298985,0.0001793378,0.00008686513],"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":[0.0003865384,0.00007487416,0.0001375885,0.00003262601,0.00004446937,8.464488e-7,0.000002321184,0.000001549414,0.9979895,0.00002666779,0.000108886,0.001194108],"study_design_scores_gemma":[0.001086528,0.0008267389,0.00004253455,0.00002425891,0.00003602522,0.000006713407,0.00001358488,0.0007215966,0.986312,0.00008978038,0.01046629,0.0003739005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969616,0.0001012988,0.001230648,0.0002629293,0.00008910378,0.0008371476,0.00002935679,0.0001386377,0.0003493131],"genre_scores_gemma":[0.985688,0.00001125506,0.01246126,0.0002370181,0.0002362348,0.00005867591,0.0001048676,0.00005258283,0.001150153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167748,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007024480208248767,"score_gpt":0.2401230814250559,"score_spread":0.2330986012168071,"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."}}