{"id":"W7056756347","doi":"","title":"Evolutionary history of Early-Middle and Late Pleistocene equids, revealed by analysis of their paleogenomes","year":2020,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beringia; Ancient DNA; Pleistocene; Population; Mitochondrial DNA; Biological dispersal; Most recent common ancestor; Demographic history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004646031,0.0003227128,0.0007156578,0.0003192603,0.00001647322,0.00005869579,0.0002893687,0.0002368582,0.001953166],"category_scores_gemma":[0.00002256193,0.0003138984,0.0001984229,0.0004224339,0.000134545,0.0003698739,0.0001130284,0.000188336,0.0000616269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004482875,"about_ca_system_score_gemma":0.00005026638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001997485,"about_ca_topic_score_gemma":0.000001777853,"domain_scores_codex":[0.9987978,0.00003084702,0.0004861,0.000321608,0.000159935,0.0002036522],"domain_scores_gemma":[0.9992469,0.00006154971,0.0001732874,0.0003575981,0.00001374839,0.0001469318],"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":[0.0001454585,0.0003719742,0.1057845,0.003847875,0.008209091,0.00001518941,0.0004445159,0.0001604554,0.06235028,0.0008181213,0.8125978,0.005254721],"study_design_scores_gemma":[0.0002700172,0.00005947981,0.005359739,0.000223059,0.0004713268,0.000001377231,0.00002096101,0.0002132007,0.001227063,0.0003846656,0.9911628,0.0006063266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6389322,0.04282673,0.0001064897,0.00008563449,0.0003159053,0.0006762479,0.07113608,0.001242233,0.2446784],"genre_scores_gemma":[0.9359509,0.001025218,0.0009592613,0.00006356709,0.0001822699,0.00005626701,0.005681763,0.0007648277,0.05531594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2970186,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793639235717612,"score_gpt":0.1829380396196153,"score_spread":0.1650016472624392,"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."}}