{"id":"W2064864543","doi":"10.1371/journal.pgen.1004286","title":"Mutations in Conserved Residues of the C. elegans microRNA Argonaute ALG-1 Identify Separable Functions in ALG-1 miRISC Loading and Target Repression","year":2014,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Université Laval; Centre hospitalier universitaire de Québec","funders":"National Institute of General Medical Sciences; Office of Research Infrastructure Programs, National Institutes of Health; National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Dicer; Biology; Argonaute; Drosha; microRNA; Gene silencing; Genetics; Caenorhabditis elegans; Cell biology; RNA interference; Gene; RNA","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":[],"consensus_categories":[],"category_scores_codex":[0.0001901387,0.0001233359,0.0001455269,0.00007935039,0.00007006619,0.00002086426,0.000148177,0.0001317517,0.00001373998],"category_scores_gemma":[0.0001715941,0.0001135167,0.00005127437,0.0001645728,0.0001138778,0.000005977062,0.0001216679,0.00009200993,0.000003220919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001931024,"about_ca_system_score_gemma":0.00006298213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003098061,"about_ca_topic_score_gemma":0.000373408,"domain_scores_codex":[0.9988944,0.0001765638,0.0003364095,0.0003031481,0.0001087568,0.0001807459],"domain_scores_gemma":[0.9992915,0.00003476382,0.0001461298,0.0004065562,0.00007246726,0.00004863166],"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":[0.00002623057,0.00007111896,0.09218121,0.00004037113,0.00002048257,5.538443e-7,0.00009340345,0.002083036,0.9048308,0.00001368291,0.0006002514,0.00003885612],"study_design_scores_gemma":[0.0005011863,0.00003261066,0.1499985,0.00008812037,0.00003005667,0.000003966505,0.0000602199,0.004399198,0.8428772,0.0005194971,0.001365755,0.0001236687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971406,0.001724409,0.0003054145,0.0001859565,0.00007038024,0.0002755515,0.00003218286,0.000006685316,0.000258753],"genre_scores_gemma":[0.9984555,0.00009015587,0.001006496,0.00006597311,0.00004251428,0.0000232829,0.00008291397,0.0000200683,0.0002131102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06195362,"threshold_uncertainty_score":0.4629079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121122551483137,"score_gpt":0.2522507309757722,"score_spread":0.2401384758274585,"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."}}