{"id":"W4384120181","doi":"10.1021/acsami.3c03777","title":"Electrochemically Exfoliated Graphene Oxide for Simple Fabrication of Cocaine Aptasensors","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Institut national de la recherche scientifique","keywords":"Graphene; Materials science; Nanotechnology; Exfoliation joint; Fabrication; Electrochemistry; Adsorption; Aptamer; Covalent bond; Surface modification; Oxide; Graphite oxide; Detection limit; Chemical engineering; Electrode; Chromatography; Organic chemistry; Chemistry","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":[0.0002604103,0.0005802803,0.0002779899,0.0003364777,0.0001253233,0.0002011516,0.0006398454,0.0005625863,0.0005805535],"category_scores_gemma":[0.0004665687,0.0003340352,0.0002463512,0.0001887001,0.0001928521,0.0003597478,0.0002773585,0.0005454861,0.0003192511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437829,"about_ca_system_score_gemma":0.0001438922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338994,"about_ca_topic_score_gemma":0.00165089,"domain_scores_codex":[0.9997354,0.00003096562,0.00002543956,0.00006103524,0.0001203178,0.00002679407],"domain_scores_gemma":[0.9998378,0.00005461042,0.00003862371,0.00001948655,0.00002965743,0.00001983285],"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":[0.000006095794,0.00000503724,0.00002053138,0.00002348412,0.000002000197,0.00002706196,0.00000380323,0.00004373229,0.998906,0.00003307294,0.00001675742,0.0009123583],"study_design_scores_gemma":[0.000003237878,0.00005423358,0.00032298,0.000002340958,0.000004635534,0.00008056557,0.000005791152,0.001014082,0.9975998,0.00003512999,0.000872178,0.00000504626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8133393,0.006354746,0.1717962,0.0004807503,0.0005592669,0.0003985795,0.001409197,0.001245724,0.004416308],"genre_scores_gemma":[0.8429423,0.003048317,0.1508765,0.0002111579,0.00005291629,0.0001352839,0.0006210243,0.0000493402,0.002063139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006398454,"threshold_uncertainty_score":0.001942158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084921819178762,"score_gpt":0.2748216552022892,"score_spread":0.2639724370105015,"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."}}