{"id":"W4406202454","doi":"10.29173/bluejay6383","title":"Being a Good Ancestor","year":2024,"lang":"en","type":"article","venue":"Blue Jay","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ancestor; Evolutionary biology; Biology; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001052539,0.00008620487,0.00006761521,0.00001205387,0.00005838446,0.00004111444,0.00009990128,0.0001104138,0.00001866416],"category_scores_gemma":[0.0000205779,0.00008039825,0.00009634512,0.00005192028,0.00004521458,0.000001651599,0.00004804941,0.00006679802,0.00006295111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009953468,"about_ca_system_score_gemma":0.00005786799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005024939,"about_ca_topic_score_gemma":0.00001162505,"domain_scores_codex":[0.9993917,0.00001864126,0.0000908228,0.0002618286,0.00007374112,0.0001632076],"domain_scores_gemma":[0.999696,0.000006653741,0.00001242154,0.0002126576,0.00002145238,0.00005088035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001843431,0.00006590867,0.003299859,0.000134724,0.0001848489,0.00002694923,0.0019124,0.00009284339,0.9116098,0.002246169,0.05839999,0.02200813],"study_design_scores_gemma":[0.0001402676,0.0001044766,0.001098373,0.00002200748,0.00001761998,0.00001138042,0.0001836496,0.0001808118,0.1102645,0.0002678286,0.8875405,0.0001685834],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802451,0.005953134,0.001513276,0.0003625566,0.0007623904,0.00008268452,0.00001132633,0.00003920316,0.01103038],"genre_scores_gemma":[0.9874039,0.000567356,0.0008770443,0.0002944764,0.0009523093,0.00001172839,0.00002740164,0.00002107032,0.009844656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8291405,"threshold_uncertainty_score":0.3278545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611498982941597,"score_gpt":0.2535038175038042,"score_spread":0.2448923185208627,"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."}}