{"id":"W2592882654","doi":"10.1093/biolreprod/85.s1.161","title":"Orphan Nuclear Receptors in Reproduction: Lessons from Tissue-Specific Knockout Mice.","year":2011,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Biology; Cre recombinase; Corpus luteum; Nuclear receptor; Conditional gene knockout; Ovulation; Ovary; Internal medicine; Endocrinology; Progesterone receptor; Liver receptor homolog-1; Follicular phase; Transgene; Gene; Genetically modified mouse; Estrogen receptor; Genetics; Transcription factor; Hormone","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004799169,0.0001643347,0.0002840161,0.0001967761,0.00013442,0.000009744921,0.0002521334,0.0001764492,0.001957387],"category_scores_gemma":[0.0004041668,0.0001598186,0.0000645656,0.0004106327,0.0004392695,0.0001839201,0.00007814528,0.0002429859,0.0002990021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004944442,"about_ca_system_score_gemma":0.00001638867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051716,"about_ca_topic_score_gemma":0.00001081203,"domain_scores_codex":[0.9975864,0.0002705168,0.0004326653,0.001342173,0.0001103825,0.0002578201],"domain_scores_gemma":[0.9988443,0.00003674488,0.0002549326,0.000759353,0.00005377665,0.00005086109],"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":[0.0001477438,0.0001447567,0.0007938276,0.000005419177,0.000005255597,0.000002722017,0.001629624,0.000002957045,0.8953732,0.002103644,0.001481172,0.09830969],"study_design_scores_gemma":[0.0001774458,0.0001493471,0.001376129,0.00001654181,0.00000447184,0.00001862953,0.0002933781,0.00000334755,0.7275069,0.001759117,0.268553,0.0001416758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915701,0.001235465,0.00004792446,0.0009592081,0.003833579,0.0002276071,0.000007883494,0.0001281697,0.001990019],"genre_scores_gemma":[0.9954289,0.001142152,0.001963308,0.00002634933,0.0007422421,0.000006724069,0.000009069835,0.00003409317,0.0006471726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670719,"threshold_uncertainty_score":0.998955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08955304776737723,"score_gpt":0.286839226298762,"score_spread":0.1972861785313848,"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."}}