{"id":"W1999497388","doi":"10.1371/journal.pone.0003216","title":"Selective Breeding for a Behavioral Trait Changes Digit Ratio","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Office of the President, University of California; National Science Foundation","keywords":"Digit ratio; Trait; Feminization (sociology); Androgen; Biology; Testicular feminization; Aggression; Proxy (statistics); Physical fitness; Developmental psychology; Endocrinology; Psychology; Testosterone (patch); Internal medicine; Medicine; Androgen receptor; Genetics; Hormone; Physical therapy; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002705715,0.0004469082,0.0003625056,0.00060586,0.000270283,0.0003739868,0.0003533101,0.0003507306,0.004837791],"category_scores_gemma":[0.0004602454,0.0001808602,0.0002356916,0.0002834325,0.0003800926,0.0001280216,0.0004452685,0.0006161139,0.0004644996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120697,"about_ca_system_score_gemma":0.0001835551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003473816,"about_ca_topic_score_gemma":0.001097372,"domain_scores_codex":[0.9995907,0.00008147177,0.00002657547,0.0001765895,0.00007809059,0.00004662842],"domain_scores_gemma":[0.999348,0.0001330066,0.00020714,0.000113135,0.00005321901,0.0001454461],"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":[0.0002206659,0.00009412222,0.01891296,0.00005518246,0.00005419819,0.0002824368,0.00006209919,0.00004488909,0.9711731,0.0002935626,0.0003455148,0.00846136],"study_design_scores_gemma":[0.0000387254,0.001335791,0.6922327,0.00002967674,0.0001934498,0.00485038,0.0002124904,0.0007825501,0.2910919,0.0004245728,0.008750369,0.00005737337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992343,0.0007096842,0.002502335,0.0003475028,0.0000519048,0.00002178105,0.0006260449,0.0001799777,0.003217757],"genre_scores_gemma":[0.9908203,0.0004634619,0.002554897,0.0005195543,0.00004241994,0.00005918794,0.0005186979,0.0001032329,0.004918202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004837791,"threshold_uncertainty_score":0.01618397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09609690846753272,"score_gpt":0.2752822981017558,"score_spread":0.179185389634223,"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."}}