{"id":"W1929414144","doi":"10.1002/wrna.1201","title":"Finding the target sites of <scp>RNA</scp>‐binding proteins","year":2013,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews - RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"RNA-binding protein; RNA; Nucleic acid secondary structure; Computational biology; Protein secondary structure; Nucleic acid structure; Sequence motif; Biology; Structural motif; DNA; Genetics; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001735075,0.001025853,0.002674703,0.0001849148,0.0003826098,0.000109924,0.001825536,0.0007925957,0.0002394649],"category_scores_gemma":[0.0005713958,0.0006187082,0.001938866,0.0003681034,0.0002098275,0.00002116982,0.00207271,0.0006380436,0.0006227015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006493807,"about_ca_system_score_gemma":0.0001875433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003852968,"about_ca_topic_score_gemma":0.000002965861,"domain_scores_codex":[0.9950466,0.001023747,0.001857024,0.001003211,0.0003698696,0.0006995106],"domain_scores_gemma":[0.995811,0.0001723224,0.002001083,0.001717187,0.0001146505,0.0001837718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005880314,0.0001325244,0.000003844565,0.01841413,0.0005125779,0.00001094731,0.0002625235,9.021688e-7,0.05346515,0.0001058546,0.04096709,0.8861186],"study_design_scores_gemma":[0.0000925034,0.000387472,3.70661e-7,0.02385481,0.0004665732,0.00007539146,0.00009224294,0.000002501781,0.01383752,0.0002178959,0.9606473,0.0003253513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002762172,0.9887227,0.0005898703,0.00004278417,0.0005306189,0.004882415,0.0001472478,0.00002510007,0.004782993],"genre_scores_gemma":[0.00008390867,0.9878122,0.002971543,0.00004327035,0.0009158966,0.002142244,0.0005366401,0.0001424332,0.005351857],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9196803,"threshold_uncertainty_score":0.9996264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0579524622198913,"score_gpt":0.3370659928873234,"score_spread":0.2791135306674321,"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."}}