{"id":"W4405711574","doi":"10.1101/2024.12.20.629416","title":"Hormone-regulated dynamics of mRNA distribution on ribosomes in Sertoli cells","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Centre National de la Recherche Scientifique; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche","keywords":"Sertoli cell; Ribosome; Messenger RNA; Cell biology; Dynamics (music); Distribution (mathematics); Hormone; Chemistry; Biology; Spermatogenesis; Endocrinology; Physics; Gene; RNA; Biochemistry; Mathematics","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":[0.00008152072,0.0001901638,0.0002455694,0.000342114,0.0001220515,0.0002936258,0.00009558175,0.0001622892,0.002236648],"category_scores_gemma":[0.0001045997,0.0001104441,0.0002174955,0.0003013019,0.0001139484,0.0001410161,0.0001154508,0.0002926677,0.0006080539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934189,"about_ca_system_score_gemma":0.000125004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000783232,"about_ca_topic_score_gemma":0.001120433,"domain_scores_codex":[0.999936,0.000006179464,0.000003583541,0.0000234312,0.00001908549,0.00001171293],"domain_scores_gemma":[0.9999298,0.00001354664,0.00002213368,0.000003933351,0.00001844382,0.00001204092],"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":[0.0001196103,0.000005083799,0.001237135,0.0001107881,0.00001012261,0.00004177309,0.00002835118,0.00007837109,0.9956441,0.00008109378,0.0001216125,0.002521997],"study_design_scores_gemma":[0.00002007529,0.0004433023,0.1898882,0.00004166515,0.00006425798,0.0003279594,0.0002292705,0.005089657,0.7957446,0.0002776026,0.007843076,0.00003027584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840475,0.00577587,0.00468951,0.0001284355,0.00006698445,0.00001998561,0.003187459,0.0001373815,0.00194697],"genre_scores_gemma":[0.9877583,0.002546456,0.003385494,0.00007550745,0.00004004701,0.00003158082,0.00285103,0.00004427135,0.003267267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002236648,"threshold_uncertainty_score":0.00748229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006871981222523763,"score_gpt":0.2069516496675818,"score_spread":0.200079668445058,"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."}}