{"id":"W2147737023","doi":"10.1039/c4an02189d","title":"Direct detection of microRNA based on plasmon hybridization of nanoparticle dimers","year":2014,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; York University; Universities Space Research Association","keywords":"microRNA; Nanoparticle; Plasmon; RNA; Chemistry; Biomarker; Nanotechnology; Biophysics; Materials science; Biology; Biochemistry; Gene; Optoelectronics","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":[0.0004008501,0.0005566261,0.0002836212,0.000205419,0.0002347033,0.0003731853,0.0005009116,0.0007438564,0.0009029967],"category_scores_gemma":[0.0004631575,0.0003475813,0.0002528457,0.000124203,0.0004085557,0.0003537217,0.0004615606,0.0006185315,0.0005113556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546626,"about_ca_system_score_gemma":0.0001470873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132177,"about_ca_topic_score_gemma":0.0002009296,"domain_scores_codex":[0.999542,0.00009353111,0.00001940448,0.0001707213,0.0001403945,0.00003399878],"domain_scores_gemma":[0.9998036,0.00007912642,0.0000377163,0.00002470475,0.00003508904,0.00001990036],"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":[0.00001564737,0.000009728218,0.00003655599,0.00001952369,0.000002741284,0.00001714353,0.00001689036,0.00005936974,0.9989981,0.00006054555,0.0000243047,0.0007395395],"study_design_scores_gemma":[0.000004281219,0.00009656378,0.0001877788,0.000002019298,0.000003698055,0.00004916273,0.00000945079,0.001271627,0.9977844,0.00003465746,0.0005525683,0.000003728325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386762,0.0007252762,0.05520045,0.0002213639,0.0001254593,0.00009527109,0.0001248277,0.0003474548,0.00448366],"genre_scores_gemma":[0.9476131,0.0005057756,0.04618471,0.00028595,0.00003425729,0.0001579075,0.0001846487,0.00005101644,0.004982676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009029967,"threshold_uncertainty_score":0.003020883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005061201837437319,"score_gpt":0.2278932498301757,"score_spread":0.2228320479927384,"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."}}