{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006034059,0.000696165,0.0004957696,0.0006675826,0.000274524,0.0003469006,0.0009572652,0.001580771,0.0009274569],"category_scores_gemma":[0.0008116771,0.0002485633,0.0003269185,0.0005653789,0.0002412891,0.00067562,0.0003250073,0.0007340463,0.0006766955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155045,"about_ca_system_score_gemma":0.0002887369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005248307,"about_ca_topic_score_gemma":0.001203655,"domain_scores_codex":[0.9989688,0.0001815407,0.00005853332,0.0001785041,0.0005674034,0.00004514163],"domain_scores_gemma":[0.9996541,0.0001053242,0.00004667462,0.00002177069,0.0001478602,0.00002422579],"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":[0.00002200874,0.00002156252,0.00008799426,0.0001684254,0.00001016944,0.00007421678,0.00001146219,0.0002648587,0.9910536,0.00031706,0.0003054194,0.007663229],"study_design_scores_gemma":[0.000006080816,0.0001677766,0.0005569764,0.00002400976,0.00002202157,0.0004121312,0.00001149491,0.0103903,0.9805859,0.0002066202,0.007586577,0.00003019297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.228161,0.03881061,0.7163523,0.001561161,0.001789889,0.0004914759,0.001056785,0.002299051,0.009477702],"genre_scores_gemma":[0.5258672,0.01637151,0.4445253,0.001023167,0.0002369696,0.0003446405,0.0007424478,0.00008612643,0.01080252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001580771,"threshold_uncertainty_score":0.003191173,"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."}}