{"id":"W4404868159","doi":"10.5376/tgg.2024.15.0022","title":"The Archaeological Record of Wheat: From Neolithic Innovations to Modern Developments","year":2024,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Ancient and Medieval Archaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Archaeological record; History; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006982174,0.0001393257,0.0001404873,0.001762795,0.001325055,0.001568125,0.0001747575,0.0003456973,0.002066863],"category_scores_gemma":[0.001242968,0.0001379289,0.00006621435,0.003669127,0.003318148,0.001360399,0.001322844,0.0008182336,0.0001813083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008351007,"about_ca_system_score_gemma":0.0005212635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005642802,"about_ca_topic_score_gemma":0.02151368,"domain_scores_codex":[0.9997577,0.0000862872,0.00002041999,0.00004584799,0.00005618356,0.00003362413],"domain_scores_gemma":[0.999476,0.000267531,0.0001289873,0.00004372362,0.00004857714,0.00003508383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002841897,0.00005880425,0.07184554,0.001783346,0.00008337016,0.002768835,0.4465357,0.0003765452,0.004216728,0.07037955,0.006922388,0.3947449],"study_design_scores_gemma":[0.00001135343,0.000144831,0.4148773,0.002063389,0.00004876263,0.004206962,0.1576527,0.0001455736,0.001450788,0.01045536,0.4089027,0.00004029304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248629,0.1179688,0.001061214,0.00609598,0.0002468459,0.00001628476,0.0004735006,0.00001763163,0.04925686],"genre_scores_gemma":[0.9255187,0.0689946,0.0007332939,0.000630093,0.0001953766,0.000009268579,0.0001458858,0.00001191444,0.003760863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005642802,"threshold_uncertainty_score":0.01121992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501322848169445,"score_gpt":0.2644039299628435,"score_spread":0.214271645145899,"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."}}