{"id":"W4292116798","doi":"10.1126/sciadv.abq4884","title":"The developmental impacts of natural selection on human pelvic morphology","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Washington; National Institutes of Health; Harvard University","keywords":"Bipedalism; Evolutionary biology; Biology; Morphology (biology); Natural selection; Phenotype; Pelvis; Microevolution; Selection (genetic algorithm); Anatomy; Zoology; Genetics; Gene; Medicine; Population; Computer science; Artificial intelligence","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":[0.0002239883,0.00005684991,0.00004399684,0.00002834244,0.0007827004,0.000008740715,0.0003260929,0.00001142595,0.0000184025],"category_scores_gemma":[0.00004330681,0.00004126134,0.00001980767,0.0001912608,0.0004390984,0.000004752359,0.0001174618,0.00007372319,0.000001549978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319481,"about_ca_system_score_gemma":0.0001518761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006051376,"about_ca_topic_score_gemma":0.00002567739,"domain_scores_codex":[0.9993107,0.00002985349,0.00009303944,0.0001932603,0.0001941905,0.0001789469],"domain_scores_gemma":[0.9997715,0.000011778,0.0000613071,0.00009448496,0.00003439671,0.00002648403],"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":[0.00003601902,0.00002335692,0.002631335,0.000001602614,0.000003663818,9.062916e-8,0.00007863614,0.0008973387,0.9865903,0.002580726,0.0001398218,0.007017124],"study_design_scores_gemma":[0.000255623,0.001297674,0.1598332,0.000002594754,0.000003321384,0.00004425072,0.0009295382,0.000005791224,0.8184338,0.002948809,0.01611003,0.0001352913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974318,0.0007287507,0.00005486574,0.00005580196,0.0003484318,0.00007182352,0.000003115515,0.000003858375,0.001301612],"genre_scores_gemma":[0.9974824,0.000007526653,0.001949289,0.00009348462,0.00003732693,0.00001284042,0.000004610149,0.000003224825,0.000409269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1681564,"threshold_uncertainty_score":0.6019978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00965617116179384,"score_gpt":0.2835120913783632,"score_spread":0.2738559202165693,"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."}}