{"id":"W2035672458","doi":"10.1021/ac060657o","title":"Sensitive Amperometric Immunosensing Using Polypyrrolepropylic Acid Films for Biomolecule Immobilization","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"Nanyang Technological University","keywords":"Chemistry; Covalent bond; Detection limit; Amperometry; Selectivity; Chromatography; Immunoassay; Biomolecule; Substrate (aquarium); Buffer solution; Electrochemistry; Organic chemistry; Catalysis; Electrode; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001552118,0.0002497449,0.0002551845,0.00007852448,0.0001549389,0.00004864528,0.0001117186,0.0002775743,0.000004449896],"category_scores_gemma":[0.0001979988,0.0002387335,0.0002605405,0.0004973699,0.000170649,0.000006535487,0.00007771746,0.00009517484,0.00000157569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004570629,"about_ca_system_score_gemma":0.00005576142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003370517,"about_ca_topic_score_gemma":0.000002918261,"domain_scores_codex":[0.9985351,0.00002411542,0.0003373855,0.0005642106,0.0001654628,0.0003737261],"domain_scores_gemma":[0.9991141,0.00002276704,0.0001340148,0.0003855353,0.0002679495,0.0000756365],"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":[0.00005779616,0.00007370365,0.0001732314,0.00002345791,0.00006180557,0.000004917433,0.000001525108,0.00005717234,0.9987881,0.00002039814,0.0003676396,0.0003702801],"study_design_scores_gemma":[0.0002969161,0.00006224422,0.0001101411,0.00002018104,0.0001196359,0.00004677466,0.0000457399,0.01028524,0.9879001,0.00009813545,0.0006968061,0.0003181048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074965,0.0002509015,0.09094553,0.00006597232,0.00002738608,0.0001618846,0.0000506812,0.00006671871,0.0009344785],"genre_scores_gemma":[0.9833562,0.00001926986,0.0149556,0.000109156,0.0002725637,0.000004420391,0.0006347299,0.0000374649,0.0006105548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07598993,"threshold_uncertainty_score":0.9735271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010877845001628,"score_gpt":0.2793741142097037,"score_spread":0.2684962692080757,"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."}}