{"id":"W1991394186","doi":"10.1261/rna.7271405","title":"In vitro RNA random pools are not structurally diverse: A computational analysis","year":2005,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Medicine, New York University; York University; National Science Foundation","keywords":"Biology; Computational biology; RNA; In vitro; Genetics; Evolutionary biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009435865,0.0004325307,0.000619142,0.000655394,0.0005669127,0.0006904931,0.0006953643,0.0007521761,0.001731817],"category_scores_gemma":[0.003352969,0.0004021761,0.0007033887,0.0006459794,0.0004638413,0.0007667325,0.0003471412,0.0005602041,0.0001878678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879433,"about_ca_system_score_gemma":0.000875635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003878017,"about_ca_topic_score_gemma":0.006010381,"domain_scores_codex":[0.9997823,0.00007959107,0.00001161458,0.00005409883,0.00003824595,0.00003427076],"domain_scores_gemma":[0.9967187,0.002738211,0.0001666238,0.0001428412,0.0001429529,0.00009074048],"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":[0.0001143047,0.00008833903,0.003103489,0.00006488781,0.00005303535,0.00008323651,0.00002126404,0.9887713,0.001322638,0.002588961,0.0003358231,0.003452694],"study_design_scores_gemma":[0.00001589897,0.00002691843,0.0003208336,0.000001893657,0.00001249912,0.00001480344,0.000007964089,0.9979414,0.0005234092,0.001000019,0.0001315914,0.000002694809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731866,0.0001653161,0.02351255,0.0001874421,0.000009255375,0.00004219706,0.0006441876,0.0001755875,0.002076785],"genre_scores_gemma":[0.9724528,0.0001433856,0.02497068,0.00006701228,0.00000938051,0.0001642073,0.001346621,0.00006030913,0.0007856367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003878017,"threshold_uncertainty_score":0.007710934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009576684213191031,"score_gpt":0.2436037865581533,"score_spread":0.2340271023449623,"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."}}