{"id":"W4396800344","doi":"10.1107/s2053273323087909","title":"Structural basis of 3′-end poly(A) RNA recognition by LARP1","year":2023,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations and Advances","topic":"Biopolymer Synthesis and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.00008121145,0.00037905,0.0002361466,0.0001125096,0.0003987787,0.0003099086,0.000466165,0.0004228429,0.001069236],"category_scores_gemma":[0.0002124433,0.000155931,0.0002033494,0.00009396436,0.0003018484,0.00022475,0.0002189104,0.0005234665,0.0008357784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000424299,"about_ca_system_score_gemma":0.0002427924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005350987,"about_ca_topic_score_gemma":0.0004686961,"domain_scores_codex":[0.9999197,0.00001105072,0.000004912139,0.00002920254,0.00001805156,0.00001716688],"domain_scores_gemma":[0.9998926,0.00001665623,0.00004007337,0.00000720564,0.000010256,0.00003323258],"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":[0.0001539713,0.00003646903,0.000857019,0.00008489967,0.000006774149,0.0005338039,0.00003026822,0.00101806,0.9947063,0.000795208,0.0002195721,0.001557715],"study_design_scores_gemma":[0.00004507741,0.0003434171,0.01437134,0.00002522116,0.0000227769,0.001040897,0.0001020616,0.01779886,0.9602339,0.0009159403,0.005067748,0.00003274742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799296,0.003965096,0.01097781,0.0003899565,0.00007784892,0.00006724655,0.000493018,0.0002065339,0.003892877],"genre_scores_gemma":[0.9936906,0.0007440013,0.003364378,0.0001917291,0.00004343083,0.00005284133,0.0007986126,0.00002454471,0.001089751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001069236,"threshold_uncertainty_score":0.003576994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194795826195194,"score_gpt":0.2576140006493781,"score_spread":0.2456660423874262,"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."}}