{"id":"W4230499665","doi":"10.3410/f.717967502.793474126","title":"Faculty Opinions recommendation of microRNA-independent recruitment of Argonaute 1 to nanos mRNA through the Smaug RNA-binding protein.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Argonaute; microRNA; Messenger RNA; RNA-binding protein; Biology; RNA; Computational biology; Genetics; RNA interference; Gene","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":[0.00103534,0.002128062,0.001578755,0.002511798,0.000676379,0.001873805,0.002487075,0.002136722,0.03302415],"category_scores_gemma":[0.004858824,0.0005179834,0.001793095,0.003816696,0.0002975287,0.0008729566,0.001392917,0.001332048,0.0363248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136119,"about_ca_system_score_gemma":0.003062638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02979654,"about_ca_topic_score_gemma":0.07431238,"domain_scores_codex":[0.9989579,0.0001372972,0.00009875888,0.0003455769,0.0003152277,0.0001452749],"domain_scores_gemma":[0.9981838,0.0005010192,0.0002812775,0.0003227761,0.0004442529,0.0002669385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002945669,0.00004535119,0.003415554,0.001352754,0.0001601035,0.00004933611,0.00001724003,0.0004303355,0.0005036422,0.0002807204,0.9893745,0.004076114],"study_design_scores_gemma":[0.0009594829,0.00007417364,0.02817998,0.0006052656,0.0003554594,0.0002317841,0.00008725,0.002313706,0.002879515,0.001568785,0.9626727,0.00007194217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000522171,0.000175775,0.00008027103,0.00009091866,0.00002273524,0.000009988808,0.9981617,0.000317711,0.000618704],"genre_scores_gemma":[0.001065058,0.00009698141,0.0002498872,0.0000659343,0.000006446558,0.00003342493,0.9977674,0.00004273146,0.0006721346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03302415,"threshold_uncertainty_score":0.1104769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500469854787862,"score_gpt":0.3494653751582054,"score_spread":0.3044606766103267,"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."}}