{"id":"W105347587","doi":"10.1007/978-3-642-12168-5_7","title":"Application of Dicer-Substrate siRNA in Pain Research","year":2010,"lang":"en","type":"book-chapter","venue":"RNA technologies","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Dicer; RNA interference; Chronic pain; Neuropathic pain; Context (archaeology); Medicine; Population; Bioinformatics; Neuroscience; Pharmacology; Psychology; Biology; Gene; RNA; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005864523,0.0006813682,0.0005672821,0.0008930635,0.0002946061,0.0006993875,0.0006703202,0.0009121413,0.003590409],"category_scores_gemma":[0.0002682531,0.000435738,0.0004999716,0.0005438827,0.0004097965,0.0007316111,0.0004762277,0.001292838,0.002205973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851424,"about_ca_system_score_gemma":0.0003387754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003005596,"about_ca_topic_score_gemma":0.0007127689,"domain_scores_codex":[0.9997765,0.00003409785,0.0000191495,0.00005111815,0.00009693899,0.00002213269],"domain_scores_gemma":[0.9998816,0.00006101599,0.000009949394,0.00001283793,0.00002415204,0.00001046436],"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":[0.0001095266,0.00006340231,0.0001038418,0.00127019,0.00002545883,0.0006782833,0.000126523,0.0005678551,0.723089,0.01417098,0.007283336,0.2525116],"study_design_scores_gemma":[0.00002621603,0.0003903456,0.0005808882,0.0001479808,0.00005525154,0.004849173,0.0000480379,0.001327472,0.7559991,0.005608728,0.2309277,0.00003913552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.04749276,0.4898853,0.287274,0.002586351,0.002645738,0.0004276151,0.0006070707,0.001180393,0.1679008],"genre_scores_gemma":[0.2183741,0.3518871,0.2473581,0.002330994,0.0007805052,0.0004725465,0.00130633,0.00033696,0.1771535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003590409,"threshold_uncertainty_score":0.01201111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363223499097967,"score_gpt":0.2949272747756696,"score_spread":0.2612950397846899,"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."}}