{"id":"W4385264978","doi":"10.1111/mec.17083","title":"The quest for good genes: Epigamic traits, fitness, MHC and multilocus heterozygosity in the guppy","year":2023,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Narodowe Centrum Nauki","keywords":"Biology; Loss of heterozygosity; Guppy; Genetics; Evolutionary biology; Genetic Fitness; Major histocompatibility complex; Sexual selection; Balancing selection; Poecilia; Gene; Allele","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":[0.00043146,0.0002062767,0.0002372988,0.0004901252,0.0003655914,0.0004525753,0.0002544284,0.0002482469,0.001704757],"category_scores_gemma":[0.0008835568,0.0001168383,0.0001061739,0.0004019854,0.0007024435,0.0002761037,0.0004965996,0.0003695206,0.00008405862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919612,"about_ca_system_score_gemma":0.0002576286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063301,"about_ca_topic_score_gemma":0.03367599,"domain_scores_codex":[0.9998806,0.00003842227,0.000004910879,0.00004158822,0.00001638014,0.00001817094],"domain_scores_gemma":[0.9992588,0.0002203382,0.0002487974,0.00005355669,0.00005068011,0.00016785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001528834,0.00003194622,0.9774092,0.00002359247,0.00007777884,0.000144506,0.0004674646,0.000353442,0.01775825,0.0001978081,0.0001014143,0.003281633],"study_design_scores_gemma":[0.000001818972,0.00003481808,0.9990624,0.000002774979,0.000007494795,0.0000537024,0.0001887763,0.0003688755,0.0001177774,0.00009811317,0.00006054419,0.000003038817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997745,0.00002892417,0.00006429826,0.00001589179,3.290181e-7,5.743219e-7,0.00002199615,0.000001578981,0.00009194459],"genre_scores_gemma":[0.9996996,0.00001259313,0.0001283863,0.00001273662,9.64683e-7,0.000001733768,0.00002952376,0.000001583148,0.0001130268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063301,"threshold_uncertainty_score":0.02114224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868110389277987,"score_gpt":0.2488719237271976,"score_spread":0.2301908198344177,"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."}}