{"id":"W2572798406","doi":"10.1074/jbc.m116.765776","title":"Dual Functional Roles of Molecular Beacon as a MicroRNA Detector and Inhibitor","year":2017,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Innovation and Technology Commission - Hong Kong; Research Grants Council, University Grants Committee","keywords":"Molecular beacon; microRNA; Zebrafish; Biology; Cell biology; Embryonic stem cell; Genetics; Gene","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":[0.002308612,0.001358748,0.001126534,0.0009867817,0.0004786393,0.001263024,0.001456743,0.001949296,0.003080924],"category_scores_gemma":[0.001976935,0.0009421159,0.0006941239,0.0004676805,0.001231504,0.001436924,0.0007859471,0.001874293,0.002119109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007249798,"about_ca_system_score_gemma":0.0009838932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003233104,"about_ca_topic_score_gemma":0.0005351579,"domain_scores_codex":[0.9983437,0.0003233199,0.00008408659,0.0004876317,0.0005650109,0.0001960746],"domain_scores_gemma":[0.9990595,0.000316851,0.000187315,0.0001120147,0.000173461,0.0001508594],"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":[0.0001625746,0.00002538952,0.00006178059,0.0001720806,0.000009731662,0.0000401437,0.00003983662,0.00006001284,0.9911767,0.003003601,0.000238206,0.005009987],"study_design_scores_gemma":[0.00002131378,0.0001390118,0.00008868072,0.000007268299,0.00001768438,0.0001658423,0.000009273866,0.0007492344,0.9927141,0.0002001121,0.005874841,0.00001266305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2774322,0.02151308,0.6656762,0.002263163,0.001960493,0.0005769279,0.0006650476,0.004954392,0.02495838],"genre_scores_gemma":[0.666596,0.006558834,0.2983286,0.001128773,0.0002586658,0.001053843,0.0006192159,0.000371859,0.02508421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003080924,"threshold_uncertainty_score":0.01220924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288654076944728,"score_gpt":0.2638316950161708,"score_spread":0.2509451542467235,"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."}}