{"id":"W2128410976","doi":"10.1039/c2nr32146g","title":"A graphene-based electrochemical competitive immunosensor for the sensitive detection of okadaic acid in shellfish","year":2012,"lang":"en","type":"article","venue":"Nanoscale","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Okadaic acid; Detection limit; Chromatography; Graphene; Chemistry; Voltammetry; Nuclear chemistry; Electrochemistry; Electrode; Materials science; Nanotechnology; Biochemistry","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":[0.0002384444,0.0008080578,0.0004222816,0.0005749977,0.0002128746,0.0002536473,0.0007993318,0.0009149606,0.0004435779],"category_scores_gemma":[0.0003773011,0.0002870341,0.0003681577,0.0003279292,0.0002153012,0.0004120116,0.0005101162,0.000462271,0.0002710055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858979,"about_ca_system_score_gemma":0.0002458938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109951,"about_ca_topic_score_gemma":0.003573482,"domain_scores_codex":[0.9996464,0.00004406607,0.00002057625,0.00008391191,0.0001751438,0.00002979505],"domain_scores_gemma":[0.9998472,0.00002956788,0.00002546083,0.00001363465,0.00006174476,0.00002236454],"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":[0.0000335747,0.00001072816,0.0001988352,0.00006601399,0.00000762512,0.00004002939,0.000005137506,0.0001018132,0.9955857,0.00003092784,0.00004174941,0.003877918],"study_design_scores_gemma":[0.000009000099,0.000210429,0.002671015,0.00000803318,0.00003919503,0.0003795969,0.00001811365,0.00362473,0.9908333,0.00003934997,0.002143115,0.00002409957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493574,0.01229389,0.1318434,0.0004485738,0.0004432366,0.0003425357,0.001044416,0.001055128,0.003171299],"genre_scores_gemma":[0.8226802,0.003563572,0.1681259,0.0002489639,0.00004626755,0.000157032,0.0006630298,0.00002268435,0.00449221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00109951,"threshold_uncertainty_score":0.003525436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005658483649905267,"score_gpt":0.1972894636066946,"score_spread":0.1916309799567893,"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."}}