{"id":"W3118477877","doi":"10.1038/s41598-020-79501-w","title":"Population history and ecology, in addition to climate, influence human stature and body proportions","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Birth, Development, and Health","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"FP7 Ideas: European Research Council; Newnham College, University of Cambridge; European Commission","keywords":"Anthropometry; Population; Demography; Ecology; Biology; Geography; Spatial variability; Butterfly; Physical geography; Statistics; Mathematics","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":[0.0004465271,0.0001936429,0.0001789061,0.0006295209,0.0001834434,0.0004703924,0.0001614357,0.0001489964,0.002168097],"category_scores_gemma":[0.001730765,0.0001303797,0.0002465759,0.0009051498,0.0005148187,0.0003038357,0.0004187785,0.0001910194,0.0002710174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629768,"about_ca_system_score_gemma":0.0001322773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004234295,"about_ca_topic_score_gemma":0.00886307,"domain_scores_codex":[0.9997459,0.0001306775,0.00001606103,0.00005220606,0.00002647461,0.00002868589],"domain_scores_gemma":[0.9992843,0.0003013501,0.0002402387,0.00005765141,0.00005272168,0.00006363156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003059051,0.00001554047,0.9756008,0.00003410746,0.0001358993,0.000100778,0.0003436856,0.0007781883,0.002068924,0.0004844725,0.000169065,0.02023787],"study_design_scores_gemma":[5.34066e-7,0.00001324755,0.9987953,0.000006388579,0.00001522171,0.00006064021,0.000124313,0.0004053512,0.00007142091,0.0002572383,0.0002479138,0.000002468872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951149,0.0009271947,0.001696006,0.0001042549,0.000007942373,0.000005824306,0.0002803427,0.0000144,0.001849193],"genre_scores_gemma":[0.9985098,0.0005064534,0.0005433498,0.00002370104,0.0000122346,0.000004270364,0.0001390536,0.000006823405,0.000254311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004234295,"threshold_uncertainty_score":0.008419275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833175281418765,"score_gpt":0.3034598590025541,"score_spread":0.2851281061883664,"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."}}