{"id":"W6958552139","doi":"10.6084/m9.figshare.13632782","title":"Additional file 6 of A comprehensive microsatellite landscape of human Y-DNA at kilobase resolution","year":2021,"lang":"en","type":"article","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; Position (finance); Resolution (logic); High resolution","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198332,0.001180383,0.001297443,0.00270191,0.001149099,0.001705786,0.00200451,0.001171842,0.8618245],"category_scores_gemma":[0.01358615,0.0008094469,0.00076832,0.005167848,0.0003193095,0.001572199,0.001148677,0.001042021,0.2733757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874087,"about_ca_system_score_gemma":0.00130904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007696095,"about_ca_topic_score_gemma":0.01327399,"domain_scores_codex":[0.999406,0.00007555387,0.00008126259,0.0001823623,0.0001563987,0.00009838617],"domain_scores_gemma":[0.9903238,0.006556361,0.0005780957,0.0007260722,0.00146541,0.0003502751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002605189,0.00007528353,0.002270867,0.001992283,0.00004630063,0.0001139675,0.00009586076,0.0004447771,0.000479553,0.0006530883,0.9849437,0.008623787],"study_design_scores_gemma":[0.002272479,0.0001553703,0.02763369,0.001524464,0.0001652338,0.0006599666,0.0004038142,0.001282415,0.002083175,0.008991784,0.9546609,0.0001667761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001712471,0.00001623336,0.0003295231,0.00005611028,0.00001599974,0.00002278137,0.9979634,0.0006406932,0.0007839564],"genre_scores_gemma":[0.004937865,0.0001011296,0.00327711,0.0002249201,0.00005169799,0.0003416314,0.9840354,0.001669052,0.00536116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8618245,"threshold_uncertainty_score":0.1970907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720805429765111,"score_gpt":0.2739484416109619,"score_spread":0.2467403873133108,"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."}}