{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002343035,0.00006614678,0.0001148934,0.00004313157,0.00003985808,0.00000317033,0.00007907188,0.00003863283,6.636902e-7],"category_scores_gemma":[0.00006625976,0.00004458708,0.00009068504,0.0001641744,0.00007482157,0.000001357582,0.00001504919,0.00002578145,5.297936e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005050613,"about_ca_system_score_gemma":0.0000067305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002871004,"about_ca_topic_score_gemma":0.00003352987,"domain_scores_codex":[0.9994726,0.00008675515,0.0001533797,0.0001268617,0.00008808408,0.00007237151],"domain_scores_gemma":[0.9994658,0.00002052064,0.0001465308,0.0002816503,0.00007014086,0.00001530696],"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":[0.00007929818,0.00003038384,0.0003463594,0.00000494845,0.00002959875,5.157728e-8,0.000004148029,0.0009848308,0.995965,0.000006136128,0.00002570591,0.002523546],"study_design_scores_gemma":[0.0001158895,0.0002445345,0.0003629633,0.000009831739,0.00006463051,3.965353e-7,0.00001085138,0.009513825,0.9890169,0.00001352902,0.0005940429,0.00005262901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985322,0.00002594542,0.01411793,0.00005827706,0.00001458155,0.00004524816,0.000004307642,0.00001007398,0.000401642],"genre_scores_gemma":[0.9995292,0.00001486448,0.0002980931,0.000070689,0.00002448447,0.000001398841,0.00001766335,0.000006358403,0.00003721649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01420724,"threshold_uncertainty_score":0.1818209,"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."}}