{"id":"W4387164555","doi":"10.1126/sciadv.adf5559","title":"Interplay between male quality and male-female compatibility across episodes of sexual selection","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Sexual selection; Mate choice; Trait; Mating preferences; Directional selection; Evolutionary biology; Reproductive success; Selection (genetic algorithm); Disruptive selection; Genetic variation; Mating; Genetics; Natural selection; Demography; Population; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001315513,0.00008494507,0.0001632733,0.00001695609,0.0004428198,0.0000410853,0.0001980399,0.00003679987,0.00008294774],"category_scores_gemma":[0.0001351897,0.00003583683,0.00002350916,0.001097035,0.0009263335,0.0006144837,0.0001177278,0.00007547958,0.0000141106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001939496,"about_ca_system_score_gemma":0.000009375029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003499955,"about_ca_topic_score_gemma":0.0004836703,"domain_scores_codex":[0.9986543,0.00005250915,0.0002336074,0.000490123,0.000291889,0.0002775663],"domain_scores_gemma":[0.9995321,0.0001113863,0.0001144958,0.00006004514,0.0001126099,0.00006938374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007815253,0.00001217094,0.536137,0.000009353698,6.030519e-7,1.379476e-7,0.000118304,0.000005026485,0.3919266,0.00001226937,0.000004238328,0.07176647],"study_design_scores_gemma":[0.00003470253,0.0002470905,0.9336542,0.000007310817,0.000003467499,0.000005980724,0.002251694,0.0000146284,0.0633375,0.0001524897,0.0002035908,0.00008732908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992381,0.00007829072,0.000008909768,0.0001864885,0.0001167711,0.0001186879,0.00004653601,0.00006311858,0.0001431037],"genre_scores_gemma":[0.9993235,0.00001526229,0.0001034926,0.000008086192,0.00009635138,0.000005105589,0.00001064766,4.331478e-7,0.0004370601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3975172,"threshold_uncertainty_score":0.3413115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350418121933676,"score_gpt":0.3942296568234622,"score_spread":0.3207254756041255,"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."}}