{"id":"W2535147024","doi":"10.1007/978-1-4899-7708-3_15","title":"Small RNA Library Preparation and Illumina Sequencing in Plants","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Computational biology; Biology; DNA sequencing; Epigenetics; Small RNA; RNA; Transfer RNA; 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":[0.001897089,0.001440182,0.001647598,0.00122017,0.002743152,0.001299451,0.001529808,0.001126812,0.006188238],"category_scores_gemma":[0.00205541,0.001841078,0.00172717,0.001672442,0.001065863,0.0006479548,0.001240125,0.004013517,0.00673518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009087134,"about_ca_system_score_gemma":0.002034308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344415,"about_ca_topic_score_gemma":0.01075239,"domain_scores_codex":[0.9976305,0.0004709621,0.0001706843,0.0009255157,0.0004763397,0.0003261167],"domain_scores_gemma":[0.998978,0.0002439585,0.0000752014,0.0003728291,0.0002089325,0.0001212004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00031966,0.00007063123,0.0003306846,0.000315601,0.00004504166,0.000100181,0.0003473618,0.0009338094,0.9732407,0.001766855,0.003334748,0.01919477],"study_design_scores_gemma":[0.0001393759,0.0004464882,0.004767086,0.00008095133,0.0001171046,0.0003296151,0.0001138035,0.01001695,0.8744634,0.003004986,0.1064128,0.000107503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08521646,0.001257721,0.8573782,0.0004865184,0.0004443679,0.002731561,0.02468933,0.01354536,0.01425054],"genre_scores_gemma":[0.1111464,0.001560273,0.7899977,0.001161325,0.000177188,0.006122638,0.06290429,0.00535493,0.02157526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006188238,"threshold_uncertainty_score":0.02070177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05902577092568717,"score_gpt":0.3530341131460633,"score_spread":0.2940083422203761,"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."}}