{"id":"W7084051139","doi":"10.6084/m9.figshare.30147130.v1","title":"Supplementary figures and tables from Ancient DNA of the Toronto Subway Deer Adds to the Extinction List of Ice Age Megafauna","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Megafauna; Extinction (optical mineralogy); Ice age; Ancient DNA; Table (database)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004994624,0.001086468,0.000925019,0.006057852,0.002108439,0.001680501,0.002061427,0.0007938425,0.799859],"category_scores_gemma":[0.006416488,0.001045367,0.0007342722,0.01071331,0.0004581685,0.001033572,0.0009521105,0.001772427,0.2754771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948473,"about_ca_system_score_gemma":0.003711925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.081735,"about_ca_topic_score_gemma":0.1719892,"domain_scores_codex":[0.999592,0.00002402321,0.00004526979,0.00009694773,0.0001669394,0.00007475196],"domain_scores_gemma":[0.9951227,0.001596058,0.0004141615,0.0005314121,0.001645993,0.0006897599],"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":[0.0001662111,0.00006641167,0.002467765,0.001021066,0.00003909662,0.0001597047,0.000188935,0.0003382636,0.00181546,0.001299811,0.9726396,0.01979784],"study_design_scores_gemma":[0.0001747673,0.00004821139,0.03045707,0.0003331329,0.0000523881,0.0003251593,0.0002925551,0.0002596689,0.001517888,0.002363162,0.9641163,0.00005972134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001020539,0.00008771658,0.0009222355,0.0001943776,0.0005146263,0.00006339402,0.9874571,0.0006099315,0.009130077],"genre_scores_gemma":[0.005164419,0.0003783972,0.006549612,0.0002359277,0.0001806266,0.0001857324,0.9552274,0.0008962018,0.0311818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.918265,"threshold_uncertainty_score":0.2854767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008989819053159457,"score_gpt":0.2316343150562611,"score_spread":0.2226444960031016,"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."}}