{"id":"W2997940501","doi":"10.1111/1755-0998.13133","title":"Characterization of a Y‐specific duplication/insertion of the anti‐Mullerian hormone type II receptor gene based on a chromosome‐scale genome assembly of yellow perch, <i>Perca flavescens</i>","year":2020,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Oxford Nanopore Technologies; Great Lakes Fishery Commission","keywords":"Perch; Biology; Genome; Genetics; Chromosome; Gene duplication; Genomics; Aquaculture; Gene; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072623,0.0001545982,0.0002934435,0.00003957768,0.00008268212,0.00000624359,0.0003105958,0.0002035187,0.0000822184],"category_scores_gemma":[0.00006716538,0.0001287252,0.0001608952,0.0002167059,0.0002548142,0.000004131046,0.0001159141,0.00008714827,0.000004981646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008321806,"about_ca_system_score_gemma":0.00005588041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002511687,"about_ca_topic_score_gemma":0.000002300897,"domain_scores_codex":[0.9987381,0.0001473334,0.0004619865,0.0003123437,0.0001849191,0.0001553929],"domain_scores_gemma":[0.9990192,0.00001665789,0.000334167,0.0003510124,0.0002095002,0.00006944065],"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":[0.0002244364,0.0002161724,0.001054851,0.00004186443,0.00003462315,7.798289e-7,0.0002890539,0.0001879192,0.9977086,0.000009623312,0.00005896408,0.0001730666],"study_design_scores_gemma":[0.0005526604,0.001667915,0.06971584,0.00001434581,0.00002637546,0.000002012364,0.0001046745,0.0002033455,0.9210015,0.000003101796,0.006584738,0.0001234965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977201,0.0001587931,0.0001715424,0.001253868,0.00006354807,0.000269299,0.00006353876,0.000008342123,0.0002910072],"genre_scores_gemma":[0.9982432,0.000206727,0.0002263628,0.0008916869,0.00007532649,0.00001397554,0.0001977758,0.00002021698,0.0001247148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07670714,"threshold_uncertainty_score":0.5249262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008444464884777549,"score_gpt":0.2091316166182327,"score_spread":0.2006871517334552,"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."}}