{"id":"W4296819130","doi":"10.1016/j.talanta.2022.123945","title":"Nanomaterials for optical biosensors in forensic analysis","year":2022,"lang":"en","type":"review","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Biosensor; Nanotechnology; Nanomaterials; Biochemical engineering; Computer science; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200199,0.001636768,0.001056827,0.003188652,0.0006283021,0.001566018,0.001429723,0.002986273,0.003562001],"category_scores_gemma":[0.001122463,0.0005790275,0.0008718972,0.00336841,0.001362153,0.00294927,0.001413438,0.003857716,0.003309815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128041,"about_ca_system_score_gemma":0.001135835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007988132,"about_ca_topic_score_gemma":0.001107633,"domain_scores_codex":[0.9992873,0.0001309337,0.00005666675,0.000134795,0.0003310556,0.00005919733],"domain_scores_gemma":[0.9995205,0.000242004,0.00005577176,0.00002306147,0.0001280348,0.00003053264],"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":[0.0000447774,0.0001431411,0.0002045796,0.0179056,0.00007337295,0.0005802062,0.0002695501,0.001073985,0.02473188,0.04525248,0.03939314,0.8703272],"study_design_scores_gemma":[0.000004731543,0.00006507333,0.00018804,0.001593513,0.00002965834,0.001216372,0.00006465418,0.0002124045,0.00403603,0.006151488,0.9864117,0.00002620037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000339833,0.991128,0.002056712,0.0006933183,0.0007954516,0.00001814832,0.0000217273,0.00002998879,0.004916802],"genre_scores_gemma":[0.003085771,0.9887773,0.003332386,0.0006839047,0.0004592057,0.00004161,0.0000463951,0.000009757791,0.003563623],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003562001,"threshold_uncertainty_score":0.0119161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449326867004726,"score_gpt":0.3431427667245408,"score_spread":0.3086494980544935,"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."}}