{"id":"W2965245669","doi":"10.1038/s41598-019-47299-x","title":"Identifying Archaeological Bone via Non-Destructive ZooMS and the Materiality of Symbolic Expression: Examples from Iroquoian Bone Points","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"Ministère de la Culture et de la Communication; Social Sciences and Humanities Research Council of Canada; Université de Montréal; Danmarks Grundforskningsfond; Leverhulme Trust; Government of Canada; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Homo sapiens; Zooarchaeology; Taphonomy; Materiality (auditing); Archaeology; Computer science; Identification (biology); Experimental archaeology; Evolutionary biology; Biology; History; Art; Ecology; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006656125,0.0005312291,0.0002420232,0.00283839,0.002810641,0.0009484401,0.0006431165,0.0005752965,0.002325799],"category_scores_gemma":[0.0008371,0.000217282,0.0001880815,0.002369401,0.005069783,0.0002923534,0.001230297,0.0005178304,0.0003472018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374684,"about_ca_system_score_gemma":0.0008876176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09361302,"about_ca_topic_score_gemma":0.4217049,"domain_scores_codex":[0.9995496,0.00007137682,0.0000157515,0.00009361749,0.0001768662,0.00009279917],"domain_scores_gemma":[0.9995739,0.0001309595,0.00007713669,0.00006369718,0.0001207069,0.00003359395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008426463,0.0001328481,0.2026234,0.001280745,0.0002085213,0.03471165,0.197051,0.0009304802,0.3895685,0.007895068,0.003060252,0.1616949],"study_design_scores_gemma":[0.00001282617,0.0002395312,0.7235361,0.0004143116,0.0001349021,0.0232285,0.09286218,0.0009645877,0.07487665,0.001882642,0.08172499,0.0001227763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799816,0.001709507,0.006610864,0.000180409,0.00002797436,0.00004890418,0.0003184653,0.00003344142,0.01108889],"genre_scores_gemma":[0.9765045,0.001582865,0.01481872,0.00007924332,0.00001524513,0.00002419398,0.0002221446,0.00004782835,0.006705236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09361302,"threshold_uncertainty_score":0.1861363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307338062736568,"score_gpt":0.2611980095295499,"score_spread":0.2481246289021842,"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."}}