{"id":"W3159844480","doi":"10.1371/journal.pone.0248086","title":"The last battle of Anne of Brittany: Solving mass grave through an interdisciplinary approach (paleopathology, biological anthropology, history, multiple isotopes and radiocarbon dating)","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft","keywords":"Paleopathology; Radiocarbon dating; Battle; History; Archaeology; Identification (biology); Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009419579,0.000628056,0.0002720529,0.002099845,0.002961851,0.002053168,0.0008808265,0.001079636,0.0038237],"category_scores_gemma":[0.0009746323,0.0002199444,0.0002112689,0.001052581,0.003640263,0.001538512,0.002035217,0.001218921,0.0005046507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156752,"about_ca_system_score_gemma":0.00148706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016963,"about_ca_topic_score_gemma":0.12703,"domain_scores_codex":[0.9997057,0.00006752821,0.00001268653,0.00007213882,0.00009237189,0.00004962607],"domain_scores_gemma":[0.9996438,0.00008507702,0.00008999868,0.00005008078,0.00006904073,0.00006205105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004595836,0.0001915543,0.3810486,0.001153027,0.0002335295,0.01685066,0.06805879,0.001524579,0.08796787,0.03185332,0.006216364,0.4044421],"study_design_scores_gemma":[0.00001003423,0.0003257146,0.7845158,0.0008383635,0.0001233707,0.01335171,0.07169755,0.001679537,0.01086615,0.01041938,0.1059942,0.0001781843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488551,0.01054266,0.006263602,0.004008173,0.0003888241,0.00008840572,0.0001632407,0.00005654568,0.02963341],"genre_scores_gemma":[0.9747918,0.002821361,0.01337614,0.0006511462,0.0001114488,0.00001961751,0.0001229379,0.00002960255,0.008076001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016963,"threshold_uncertainty_score":0.03372854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05431806154365974,"score_gpt":0.2343385707235527,"score_spread":0.180020509179893,"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."}}