{"id":"W3007866475","doi":"10.17504/protocols.io.bcwcixaw","title":"Flongle DirectRNA Library preparation v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nordic Life Science Pipeline (Canada)","funders":"","keywords":"Nanopore sequencing; RNA; Workflow; Protocol (science); Computational biology; Computer science; Deep sequencing; DNA sequencing; Biology; Genetics; Database; Medicine; Gene; Genome","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":[0.001710513,0.002132355,0.00173341,0.002413005,0.001512076,0.001753498,0.001684044,0.001449621,0.06287558],"category_scores_gemma":[0.002263426,0.002101814,0.001257701,0.001243115,0.0007753171,0.0008725005,0.002372782,0.003715949,0.1073281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937846,"about_ca_system_score_gemma":0.001089166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008985504,"about_ca_topic_score_gemma":0.00257221,"domain_scores_codex":[0.9982022,0.0001931151,0.0001252148,0.0005384945,0.0006854025,0.0002555195],"domain_scores_gemma":[0.999153,0.0002082274,0.00004070436,0.0004016302,0.0001106879,0.0000857156],"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":[0.0006604989,0.0001711778,0.0009235142,0.001591513,0.000192732,0.0003771787,0.0003522632,0.001192747,0.6558022,0.007099684,0.2001107,0.1315258],"study_design_scores_gemma":[0.00007670822,0.0001351962,0.001322689,0.0001000353,0.00003962263,0.0006567314,0.00002668451,0.002862634,0.527316,0.003395247,0.4639746,0.0000939277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01704573,0.002342076,0.6403111,0.0006077483,0.001215533,0.002566526,0.133757,0.1655143,0.03663991],"genre_scores_gemma":[0.02950431,0.001784363,0.4496126,0.001099078,0.0002247722,0.004835024,0.3818403,0.05566531,0.07543422],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06287558,"threshold_uncertainty_score":0.2103397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818098344527014,"score_gpt":0.2722446974263293,"score_spread":0.2540637139810591,"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."}}