{"id":"W4396695072","doi":"10.1080/0734578x.2024.2318835","title":"Characterizing variation in late precontact diets using dental microwear texture analysis: a Caborn-Welborn example","year":2024,"lang":"en","type":"article","venue":"Southeastern Archaeology","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Variation (astronomy); Archaeology; Texture (cosmology); Geography; History; Computer science; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003131812,0.000267988,0.0004906522,0.0006010166,0.0002381126,0.0000368944,0.0001793056,0.0001713171,0.0009796559],"category_scores_gemma":[0.00001514089,0.0002231387,0.0001905041,0.0001813227,0.005024618,0.0001839999,0.0002639572,0.0003997527,0.0001513616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004226331,"about_ca_system_score_gemma":0.00004775293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01988765,"about_ca_topic_score_gemma":0.2423198,"domain_scores_codex":[0.9981735,0.000226375,0.0003998292,0.000546654,0.0001004742,0.0005531394],"domain_scores_gemma":[0.9994709,0.000131201,0.00009143159,0.000207307,0.00004568346,0.00005348943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002357125,0.00008729945,0.1709374,0.0001132492,0.002167084,0.0003517271,0.7092656,0.00004441824,0.0008316054,0.1138475,0.00001404545,0.002104394],"study_design_scores_gemma":[0.004600435,0.001815026,0.4840566,0.001001227,0.005682949,0.0004794728,0.3006166,0.08134205,0.0005556768,0.06200358,0.05393755,0.003908816],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924455,0.001628983,0.0006868514,0.002751327,0.001414574,0.0002106426,0.0001273295,0.0001246644,0.00061018],"genre_scores_gemma":[0.9975443,0.00005187493,0.0001255193,0.0003157758,0.0004517777,0.000019578,0.00006933599,0.00002688776,0.001394921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4086489,"threshold_uncertainty_score":0.9999336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145821039680301,"score_gpt":0.2621435782446763,"score_spread":0.2306853678478732,"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."}}