{"id":"W3127914473","doi":"10.1039/d0cs00609b","title":"Advances in multiplexed techniques for the detection and quantification of microRNAs","year":2021,"lang":"en","type":"review","venue":"Chemical Society Reviews","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":428,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"European Research Council; Université de Recherche Paris Sciences et Lettres; Centre National de la Recherche Scientifique; Ligue Contre le Cancer; Conseil Régional, Île-de-France; École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris; Institut National de la Santé et de la Recherche Médicale","keywords":"Multiplexing; microRNA; Computational biology; Computer science; Chemistry; Telecommunications; Biology; Gene; 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":[0.0004745191,0.0002303567,0.0009394232,0.00001398446,0.00004215909,0.00001140246,0.0001524017,0.0003743377,2.74769e-7],"category_scores_gemma":[0.0002715674,0.0001421541,0.0008467152,0.0001978489,0.0001557922,0.000003520984,0.00007604212,0.0001548738,1.243338e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584145,"about_ca_system_score_gemma":0.00002877026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001569892,"about_ca_topic_score_gemma":0.000005864855,"domain_scores_codex":[0.9987297,0.00007711482,0.0005994143,0.0004090972,0.0000546408,0.0001300458],"domain_scores_gemma":[0.9990082,0.00008815656,0.000454421,0.0003503911,0.00007722401,0.00002165052],"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":[0.000001887662,0.00001474683,3.897226e-7,0.002964803,0.00002147262,2.068581e-8,0.000002892813,6.94245e-9,0.2468641,0.000002042897,0.0001175381,0.7500101],"study_design_scores_gemma":[0.00003301273,0.00001459284,7.233096e-8,0.001899264,0.0001763045,0.000003372966,0.000008004149,0.000004456111,0.2728885,0.000007655114,0.7248461,0.0001186955],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000006485179,0.9908907,0.008065863,0.00001510265,0.00001949261,0.0009643118,0.00001886098,0.00001099445,0.000008189219],"genre_scores_gemma":[0.00009642266,0.9836837,0.01551187,0.00003235844,0.0001078853,0.0003070044,0.0002177159,0.00001982401,0.00002321073],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7498914,"threshold_uncertainty_score":0.5796874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013046131422393,"score_gpt":0.3658628351807175,"score_spread":0.3257323738664936,"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."}}