{"id":"W2729511311","doi":"10.1101/158832","title":"<i>PHASIS</i> : A computational suite for <i>de novo</i> discovery and characterization of phased, siRNA-generating loci and their miRNA triggers","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Computational biology; microRNA; Suite; Genome; Biology; Scalability; Computer science; DNA sequencing; Genetics; Gene","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":[0.002866304,0.002730394,0.001595695,0.001036458,0.0008496524,0.002395984,0.002767038,0.001269405,0.01254005],"category_scores_gemma":[0.004178258,0.001087572,0.001998054,0.0009215596,0.0008495472,0.001098715,0.001606008,0.002675922,0.005384318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660449,"about_ca_system_score_gemma":0.002269835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482936,"about_ca_topic_score_gemma":0.003649692,"domain_scores_codex":[0.9993057,0.0002439281,0.00005637527,0.0001328273,0.0001913631,0.00006981068],"domain_scores_gemma":[0.9983668,0.001034821,0.00009815666,0.0002073849,0.0001724784,0.0001203915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002750553,0.0009052248,0.01051684,0.007004075,0.003350143,0.001895285,0.0008169013,0.3015894,0.07901221,0.05765317,0.3767069,0.1577994],"study_design_scores_gemma":[0.00090037,0.0002601145,0.001413344,0.00008795762,0.0001725808,0.0002861084,0.000086599,0.8860735,0.02666192,0.01712978,0.06678998,0.0001376816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08807422,0.001331597,0.5724117,0.001134118,0.0006597739,0.0009494683,0.05459701,0.2608877,0.01995435],"genre_scores_gemma":[0.1714018,0.001322836,0.6691083,0.0008343962,0.0001708139,0.002362394,0.1200844,0.02911795,0.005597034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01254005,"threshold_uncertainty_score":0.04195064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929355290748657,"score_gpt":0.2298094904919826,"score_spread":0.210515937584496,"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."}}