{"id":"W4386439118","doi":"10.1093/bib/bbad321","title":"Defining the single base importance of human mRNAs and lncRNAs","year":2023,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Computational biology; Gene; Biology; Genome; Human genome; Function (biology); Genetics","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":[0.0008626053,0.000444405,0.0005578814,0.002708813,0.0004053588,0.0008258019,0.0002951273,0.00038476,0.0007330722],"category_scores_gemma":[0.003942809,0.0002162999,0.0004252051,0.001464201,0.0004776988,0.0006587753,0.0005104647,0.0005025139,0.0003605299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072591,"about_ca_system_score_gemma":0.0004606459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096073,"about_ca_topic_score_gemma":0.00152471,"domain_scores_codex":[0.9994079,0.0001567399,0.00005806036,0.0001660446,0.0001650771,0.00004619612],"domain_scores_gemma":[0.9983839,0.0007231171,0.0002824,0.0001371483,0.0003703863,0.0001030023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001716482,0.0001558927,0.2169487,0.0009255088,0.0004072194,0.0006516147,0.0004432621,0.09407745,0.2687573,0.01374826,0.003698848,0.3984695],"study_design_scores_gemma":[0.00006290431,0.0006182888,0.1397871,0.00009778547,0.0002763997,0.00169611,0.000326791,0.6713063,0.1304982,0.04474011,0.01036044,0.0002296233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6100335,0.004769234,0.3768624,0.0003042935,0.000139018,0.00009934157,0.002266958,0.001540714,0.003984578],"genre_scores_gemma":[0.86127,0.0008729765,0.1349138,0.0001089552,0.00006423161,0.00007836643,0.001835779,0.0001146951,0.0007411922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002708813,"threshold_uncertainty_score":0.004561901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419703981465609,"score_gpt":0.2448984980249619,"score_spread":0.2307014582103058,"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."}}