{"id":"W4394278294","doi":"10.6084/m9.figshare.24118284","title":"Thyroid transcriptomic profiling reveals the differential regulation of lncRNA and mRNA related to prolificacy in Small Tail Han sheep with <i>FecB<sup>++</sup></i> genotype","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Transcriptome; Genotype; Endocrinology; Hypothalamic–pituitary–thyroid axis; Biology; Internal medicine; Thyroid; Messenger RNA; Gene expression; Computational biology; Molecular biology; Medicine; Genetics; Gene; Thyroid hormones","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":[0.000132503,0.0001461358,0.0003376704,0.0004322687,0.0002341115,0.0003213697,0.00008946,0.0002557361,0.001073611],"category_scores_gemma":[0.0002576974,0.0001491823,0.0003555526,0.0003260395,0.0002238821,0.0001479311,0.0002020969,0.0002697167,0.0002629473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359846,"about_ca_system_score_gemma":0.0001235254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878851,"about_ca_topic_score_gemma":0.004010648,"domain_scores_codex":[0.9998561,0.00001052065,0.00001029613,0.00007158778,0.00002470049,0.00002682912],"domain_scores_gemma":[0.9998608,0.00003796426,0.00003952136,0.00000792469,0.00003129828,0.00002244611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007548862,0.00001902161,0.07448644,0.0002664715,0.0000973698,0.000514607,0.0005871428,0.000143299,0.9144467,0.000125346,0.0004570955,0.008101697],"study_design_scores_gemma":[0.0000265773,0.0003217061,0.9524946,0.00005828765,0.0002443873,0.00140498,0.001094297,0.001792321,0.03603951,0.0002692738,0.006209409,0.00004460677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9936978,0.001272953,0.001365286,0.00006027632,0.000018188,0.000009453987,0.002832273,0.00003172331,0.0007120296],"genre_scores_gemma":[0.9885023,0.0007197389,0.002122597,0.0002233883,0.00002103609,0.00006995119,0.00499044,0.0000521137,0.003298388],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001878851,"threshold_uncertainty_score":0.00373584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812637463462424,"score_gpt":0.2546554179563491,"score_spread":0.2365290433217248,"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."}}