{"id":"W2793393914","doi":"10.1016/j.jas.2018.03.003","title":"Innovation in bone technology and artefact types in the late Upper Palaeolithic of China: Insights from Shuidonggou Locality 12","year":2018,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Norges Forskningsråd; National Natural Science Foundation of China; Agence Nationale de la Recherche","keywords":"Assemblage (archaeology); Debitage; Archaeology; Geology; Geography; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003367693,0.00008837449,0.0002914189,0.0006938743,0.0002251894,0.0000122872,0.0006671558,0.0001427828,0.0000338882],"category_scores_gemma":[0.00178699,0.0000510394,0.00002763356,0.002467866,0.01206196,0.0002761787,0.000254595,0.0004183076,0.000001518973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005930699,"about_ca_system_score_gemma":0.0002588439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003408829,"about_ca_topic_score_gemma":0.009753535,"domain_scores_codex":[0.9980937,0.0003221795,0.0006019506,0.0001873378,0.0004692213,0.0003255896],"domain_scores_gemma":[0.9989501,0.0002903662,0.000360091,0.0001336894,0.0002051925,0.00006062176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005456681,0.00006946591,0.8570442,0.000001631149,0.000002432372,0.00003039428,0.0167619,0.000007234838,0.002897714,0.1193018,0.00000280638,0.003825967],"study_design_scores_gemma":[0.0002262353,0.0003002555,0.7922236,0.00002725938,0.000002246762,0.00001210052,0.001331478,0.00008054102,0.0005739687,0.2047245,0.0004450437,0.00005277346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875983,0.0002301528,0.0002070521,0.01090758,0.0001267229,0.0001075343,0.000001403927,0.000005712413,0.0008155537],"genre_scores_gemma":[0.9979703,0.000173933,0.00145285,0.0002963242,0.00009163425,0.000001892966,2.189009e-7,0.000001780164,0.00001109098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08542278,"threshold_uncertainty_score":0.9906266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334272867162379,"score_gpt":0.2998357909027682,"score_spread":0.2764930622311444,"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."}}