{"id":"W2553572678","doi":"10.1016/j.ymeth.2016.11.011","title":"Identification of unknown RNA partners using MAPS","year":2016,"lang":"en","type":"article","venue":"Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Transfer RNA; RNA; Computational biology; Biology; Identification (biology); Escherichia coli; Small RNA; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009144529,0.001105489,0.0007565168,0.002436914,0.001124907,0.002036838,0.0009275255,0.0005268485,0.005087873],"category_scores_gemma":[0.00119849,0.0006021936,0.0008718482,0.001246948,0.0007402012,0.001543504,0.001247359,0.001288847,0.002623944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725044,"about_ca_system_score_gemma":0.0006212436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007019593,"about_ca_topic_score_gemma":0.00118777,"domain_scores_codex":[0.9996015,0.00007556836,0.00002169733,0.0001211558,0.0001329989,0.00004712758],"domain_scores_gemma":[0.999186,0.0004464139,0.00008569847,0.0001551006,0.000051034,0.0000758501],"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":[0.001132702,0.000164507,0.005143196,0.0009827093,0.0002061054,0.0005885967,0.0005198733,0.002807668,0.8133374,0.01672649,0.001969151,0.1564216],"study_design_scores_gemma":[0.00008560625,0.0002230549,0.009638758,0.0001028881,0.0002780597,0.001554722,0.0006546234,0.03097856,0.871828,0.02224429,0.06230681,0.0001046104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2007735,0.00330273,0.7775839,0.0005247377,0.0001785299,0.0002337449,0.003711363,0.003467472,0.01022403],"genre_scores_gemma":[0.4730026,0.003524115,0.5024144,0.0001909132,0.00009215635,0.0006439526,0.008753476,0.0008444979,0.010534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005087873,"threshold_uncertainty_score":0.01702064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158376557699614,"score_gpt":0.3956313867092907,"score_spread":0.3440476211322946,"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."}}