{"id":"W4300238302","doi":"10.17615/m0n5-y766","title":"Sex, Gender, Genetics, and Health","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; Social Sciences and Humanities Research Council of Canada; National Institutes of Health; Brown University; Andrew W. Mellon Foundation","keywords":"Genetics; Biology; Evolutionary biology; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007066685,0.00009556919,0.000214738,0.00002517498,0.00009073989,0.00003429425,0.00004431096,0.0000546294,0.0001110985],"category_scores_gemma":[0.00003164411,0.00008246731,0.00002468535,0.0000957345,0.00007122313,0.0000703663,0.00005663757,0.000131685,0.00001906881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009255972,"about_ca_system_score_gemma":0.0002752398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704535,"about_ca_topic_score_gemma":0.000002207377,"domain_scores_codex":[0.9992099,0.00002991547,0.000168071,0.0002486398,0.0001378674,0.0002055414],"domain_scores_gemma":[0.9993772,0.00003134454,0.00002970215,0.0001579086,0.00001701684,0.0003868482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001754391,0.00006947866,0.4787834,0.002366843,0.0001421305,0.00008061867,0.0454093,0.000002736314,0.0001655313,0.1312073,0.1417847,0.1998125],"study_design_scores_gemma":[0.003977857,0.002677226,0.2667521,0.0001331461,0.00007447258,0.0001769849,0.01947191,0.001274255,0.01147928,0.09085513,0.6024826,0.0006450904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1894748,0.2208157,0.002577838,0.5578288,0.0007730648,0.001593712,0.00006511318,0.0009974717,0.02587346],"genre_scores_gemma":[0.8794268,0.0006641231,0.02383941,0.09428748,0.0008961128,0.000007624974,0.00006233357,0.0000370278,0.0007791243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.689952,"threshold_uncertainty_score":0.3362919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977823671267779,"score_gpt":0.3372884555130187,"score_spread":0.1395060883862408,"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."}}