{"id":"W4288096467","doi":"10.1101/2022.07.27.501796","title":"Phenotypic extremes or extreme phenotypes? On the use of large and small-bodied “phenocopied” <i>Drosophila melanogaster</i> males in studies of sexual selection and conflict","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Sexual selection; Biology; Sexual conflict; Mating; Drosophila melanogaster; Fecundity; Drosophila (subgenus); Selection (genetic algorithm); Reproductive success; Evolutionary biology; Population; Mate choice; Ecology; Zoology; Demography; Genetics; Computer science","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":[0.002503126,0.0002196648,0.0004214518,0.0005962788,0.0003535827,0.0006364851,0.0004350201,0.0005029277,0.0007825695],"category_scores_gemma":[0.003407025,0.0001155756,0.0002677905,0.0002783301,0.001389817,0.0005577458,0.0009680677,0.0009392156,0.0002228726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643054,"about_ca_system_score_gemma":0.0001093866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004236347,"about_ca_topic_score_gemma":0.001251525,"domain_scores_codex":[0.998415,0.0009608325,0.0001035843,0.0002751716,0.0001853303,0.00006012613],"domain_scores_gemma":[0.9950469,0.00305648,0.0007168102,0.0005662221,0.0003036115,0.000309932],"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":[0.002583581,0.0002861794,0.1264909,0.0005094967,0.0001948491,0.0009720561,0.001743134,0.0004980728,0.8027806,0.002205607,0.0009025177,0.06083292],"study_design_scores_gemma":[0.00004977901,0.002453864,0.8494623,0.0003586048,0.0001983812,0.001903556,0.003233092,0.002832684,0.1302177,0.003071667,0.006071243,0.0001472042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912564,0.001147642,0.005045484,0.0004464623,0.0000486741,0.0000278805,0.0002589228,0.0000581766,0.001710304],"genre_scores_gemma":[0.9931553,0.0003599692,0.005373961,0.0006367289,0.00001855513,0.00004898269,0.0001691358,0.00002875117,0.0002085943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002503126,"threshold_uncertainty_score":0.01323795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340535245332535,"score_gpt":0.2628593612723898,"score_spread":0.1288058367391363,"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."}}