{"id":"W4394100306","doi":"10.6084/m9.figshare.13632767","title":"Additional file 1 of A comprehensive microsatellite landscape of human Y-DNA at kilobase resolution","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Microsatellite; Resolution (logic); DNA; Computational biology; Computer science; High resolution; Biology; Geography; Genetics; Archaeology; Programming language; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001516761,0.0001817123,0.0002686773,0.00005823451,0.0000570941,0.000008840094,0.0002535745,0.0003514189,0.9772774],"category_scores_gemma":[0.0005669288,0.0001842084,0.0001864851,0.00009509201,0.00005516296,0.000001171006,0.0004961607,0.0001319229,0.0005054763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001314871,"about_ca_system_score_gemma":0.0002309509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001164111,"about_ca_topic_score_gemma":0.00008858353,"domain_scores_codex":[0.9988388,0.00006949098,0.0002729547,0.000357422,0.0002608811,0.0002004678],"domain_scores_gemma":[0.998517,0.0001368892,0.0002510307,0.0005566109,0.0004676883,0.0000707642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003383496,0.00004563357,1.410456e-7,0.0005069934,0.00006698902,0.00001298663,0.000001391375,0.000002059697,0.006703603,5.131645e-8,0.9925731,0.00005320112],"study_design_scores_gemma":[0.000172184,0.0001919473,0.0001336409,0.001489429,0.00001047571,0.00001594695,0.00001202557,0.000001840275,0.0148745,0.000001483121,0.9829359,0.0001606336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004788861,0.001023693,1.460605e-8,0.000003504399,0.00001639729,0.0001342146,0.998508,0.000002031602,0.0002642872],"genre_scores_gemma":[0.000003977267,0.00004610521,0.00007627138,0.00004746787,0.0001823639,0.0001808758,0.9978487,0.0000142176,0.001599984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9767719,"threshold_uncertainty_score":0.7511801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818430046931475,"score_gpt":0.2830543201356055,"score_spread":0.2548700196662907,"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."}}