{"id":"W2133594999","doi":"10.1093/bioinformatics/btr146","title":"<i>anota</i>: analysis of differential translation in genome-wide studies","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Knut och Alice Wallenbergs Stiftelse","keywords":"Bioconductor; Translation (biology); Computational biology; Polysome; Biology; Microarray analysis techniques; Gene expression profiling; Eukaryotic translation; Messenger RNA; DNA microarray; Gene expression; Computer science; Gene; Ribosome; Genetics; RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005561103,0.001683409,0.002052038,0.003478677,0.0008792325,0.002210198,0.00243446,0.0007591307,0.02597994],"category_scores_gemma":[0.02405563,0.0006551364,0.001741129,0.005928522,0.0008015694,0.001086101,0.00182979,0.001523229,0.01093068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511293,"about_ca_system_score_gemma":0.00127708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138163,"about_ca_topic_score_gemma":0.002406454,"domain_scores_codex":[0.9961835,0.001523707,0.0003788266,0.0009399891,0.0007931317,0.0001807885],"domain_scores_gemma":[0.9861603,0.008470028,0.001431987,0.001966997,0.00153328,0.0004372914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002222289,0.0001685285,0.0328968,0.00781275,0.002846177,0.000880049,0.0009017431,0.007141418,0.07277188,0.02245319,0.5825211,0.2673841],"study_design_scores_gemma":[0.0007191963,0.0007025218,0.1416526,0.0009194477,0.001919601,0.002032065,0.0002564917,0.1602004,0.06772245,0.06416788,0.5591866,0.0005206958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01809317,0.001578308,0.7263224,0.001489447,0.0009857913,0.0003923994,0.1153371,0.1289013,0.006900153],"genre_scores_gemma":[0.1041439,0.0008132861,0.7610988,0.0009903039,0.0004174465,0.00328054,0.100857,0.02431096,0.004087802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02597994,"threshold_uncertainty_score":0.08691156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230599683304403,"score_gpt":0.2562835172677359,"score_spread":0.2139775204346919,"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."}}