{"id":"W2332821782","doi":"10.1139/w11-102","title":"Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Genome; Biology; Algae; Computational biology; microRNA; Genetics; Botany; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007070138,0.0008945044,0.001310562,0.001308219,0.00100284,0.001027381,0.0008633199,0.0008635597,0.002171706],"category_scores_gemma":[0.001839947,0.0005917095,0.001944763,0.00118916,0.0002749961,0.00057348,0.0005626488,0.0007129592,0.0008473183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000834306,"about_ca_system_score_gemma":0.0016461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003563376,"about_ca_topic_score_gemma":0.00885478,"domain_scores_codex":[0.9996374,0.00008192093,0.00003715256,0.0001436529,0.00006336314,0.00003648737],"domain_scores_gemma":[0.999536,0.0003048347,0.00004372541,0.00002081282,0.0000504356,0.00004419795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0111603,0.001894719,0.1437792,0.006166708,0.004144347,0.008351806,0.001041024,0.326856,0.2285539,0.007409363,0.02035864,0.2402841],"study_design_scores_gemma":[0.0005157958,0.0006744346,0.03513789,0.0001107636,0.001095546,0.001391283,0.0004919118,0.9224476,0.02125509,0.004776361,0.01203303,0.00007033019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415495,0.002308938,0.03613006,0.0003707618,0.00007883424,0.0002646131,0.01441702,0.002140118,0.002740318],"genre_scores_gemma":[0.8063242,0.0008321453,0.121929,0.000178296,0.0000303731,0.0003938953,0.06897525,0.0002643028,0.001072582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003563376,"threshold_uncertainty_score":0.007265031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093525919499841,"score_gpt":0.1672572469708589,"score_spread":0.1463219877758605,"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."}}