{"id":"W2144818666","doi":"10.1101/gr.6897308","title":"Comparative analysis of the small RNA transcriptomes of <i>Pinus contorta</i> and <i>Oryza sativa</i>","year":2008,"lang":"en","type":"article","venue":"Genome Research","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":304,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University; BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre","keywords":"Biology; Genetics; Small RNA; Genome; RNA; Conserved sequence; Small nucleolar RNA; Arabidopsis; RNA silencing; Computational biology; Non-coding RNA; Gene; RNA interference; Base sequence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969269,0.0000970941,0.0004085079,0.00008604027,0.0002516746,0.000009902786,0.000529631,0.00009080669,0.00009389133],"category_scores_gemma":[0.00007265406,0.00003318717,0.0001596965,0.001901049,0.001085105,0.00002642835,0.0001722934,0.0002706476,0.000002943312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001576208,"about_ca_system_score_gemma":0.00003964286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005980486,"about_ca_topic_score_gemma":0.0009231492,"domain_scores_codex":[0.9979092,0.0006989434,0.0002444506,0.0002697913,0.0005037469,0.000373798],"domain_scores_gemma":[0.9988128,0.0005987425,0.0000691586,0.0001244075,0.0002974003,0.00009747148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006315314,0.000057912,0.03230201,0.000008420405,0.0002891063,0.000005775464,0.0005465307,0.000004661314,0.9657974,0.0001084101,0.00007741143,0.0007392468],"study_design_scores_gemma":[0.0001498956,0.000280245,0.8910885,0.000008403356,0.00004817613,0.00000941694,0.0004866855,0.00004169517,0.1044066,0.00003052951,0.00336171,0.00008803762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938352,0.001475797,0.000001617285,0.0004447616,0.00001165012,0.0002977567,0.0003184686,0.000006098228,0.003608629],"genre_scores_gemma":[0.9988069,0.0004787731,0.00002392242,0.00002783021,0.00001929049,0.0000124204,0.000033753,5.629152e-7,0.0005965476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8613907,"threshold_uncertainty_score":0.3998116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126228524645685,"score_gpt":0.3162464843715218,"score_spread":0.1900179597258368,"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."}}