{"id":"W2530958412","doi":"10.1039/9781782623908-00327","title":"Graphene-Based Biosensors for Food Analysis","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Graphene; Biosensor; Nanotechnology; Nanomaterials; Materials science; Biomolecule; Nanobiotechnology; Nanoparticle","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869528,0.001567509,0.0007426675,0.00163376,0.0004366928,0.001080656,0.001191298,0.001499913,0.01026517],"category_scores_gemma":[0.0002484361,0.0004701956,0.0006222018,0.001654796,0.0006011018,0.002027541,0.0009680244,0.002297421,0.01044918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006980108,"about_ca_system_score_gemma":0.0003074302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003674667,"about_ca_topic_score_gemma":0.0009093492,"domain_scores_codex":[0.9996263,0.00003008598,0.00001060878,0.00007300236,0.0002364136,0.00002354542],"domain_scores_gemma":[0.9999436,0.00001868487,0.000004570473,0.000006237618,0.00002018919,0.000006824378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008156383,0.0001242587,0.0001184199,0.003132325,0.00007164378,0.00039445,0.0003438521,0.001742316,0.1942765,0.1097985,0.1425901,0.547326],"study_design_scores_gemma":[0.00000622429,0.00003739218,0.0001094159,0.000206282,0.0000128054,0.0004291033,0.00003184323,0.0009586773,0.02764641,0.01597158,0.9545607,0.00002944315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005283005,0.6846315,0.07782454,0.004094895,0.006734203,0.000189357,0.0008676199,0.001987815,0.2183871],"genre_scores_gemma":[0.04156579,0.4510232,0.09073139,0.003949637,0.001559766,0.0002348035,0.001419455,0.000342581,0.4091733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01026517,"threshold_uncertainty_score":0.03434044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451173294790581,"score_gpt":0.2574376043214324,"score_spread":0.2429258713735266,"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."}}