{"id":"W1965897122","doi":"10.4161/psb.29462","title":"Computational identification of conserved microRNAs and their targets from expression sequence tags of blueberry (<i>Vaccinium corybosum</i>)","year":2014,"lang":"en","type":"article","venue":"Plant Signaling & Behavior","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"","keywords":"Biology; microRNA; Expressed sequence tag; Computational biology; RNA; RNA splicing; Genetics; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924516,0.0001160619,0.000222854,0.00002070288,0.00008740249,0.00001793261,0.0002116027,0.0001099043,0.00005692715],"category_scores_gemma":[0.00006730659,0.00005173363,0.00005075567,0.00008215949,0.0001042725,0.00004954722,0.00007148899,0.0001012534,0.0000039441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006946811,"about_ca_system_score_gemma":0.00001241062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019664,"about_ca_topic_score_gemma":0.0000712382,"domain_scores_codex":[0.9988544,0.0001996523,0.0003544148,0.0002684046,0.000161758,0.0001613859],"domain_scores_gemma":[0.9988693,0.0006368893,0.0002594259,0.00005892225,0.0001116926,0.00006376921],"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":[0.00005460601,0.00006871389,0.04862768,0.000006268892,0.000007780035,0.000002985422,0.00007188266,0.00001712075,0.9499796,0.00001695141,0.00003011545,0.00111631],"study_design_scores_gemma":[0.0001288606,0.00007217145,0.1875179,0.0000478788,0.00001375881,0.00001212898,0.00005114648,0.0004025573,0.8114772,0.0001361554,0.00005238384,0.00008779406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977689,0.000180909,0.0001706634,0.00008480644,0.00004785778,0.0001761996,0.001546961,0.00001855662,0.000005088848],"genre_scores_gemma":[0.998177,0.00001353802,0.0003483252,0.00003026249,0.00002832118,0.00001368179,0.001375385,0.000001193976,0.00001228361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388903,"threshold_uncertainty_score":0.2109636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042220683953719,"score_gpt":0.2459458710364668,"score_spread":0.2155236641969296,"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."}}