{"id":"W3216566150","doi":"","title":"Uncovering the History of UTM: A reflection on advanced archaeological fieldwork.","year":2021,"lang":"en","type":"article","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reflection (computer programming); Archaeology; History; Geology; Visual arts; Art; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00004056946,0.00004925864,0.00007969717,0.00002024482,0.00001044953,0.000001623272,0.000065079,0.00005515596,0.00007075234],"category_scores_gemma":[0.00004304898,0.00003201579,0.0000323823,0.0000641794,0.00002787163,0.00002132096,0.00003051812,0.0001119059,0.000005045519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009272908,"about_ca_system_score_gemma":0.00001038509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001290888,"about_ca_topic_score_gemma":0.00006028378,"domain_scores_codex":[0.9996955,0.000008486002,0.00009002417,0.00006878532,0.00005687531,0.00008029253],"domain_scores_gemma":[0.9997382,0.00005047577,0.00001186378,0.0001786813,0.00001296833,0.000007835803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009497943,0.0001633177,0.003639141,0.0004973109,0.0003160961,0.0001829243,0.003296569,0.1373841,0.2839916,0.1331505,0.08597165,0.3513118],"study_design_scores_gemma":[0.000368861,0.0002088409,0.003005849,0.0001275931,0.00001010569,0.00003705536,0.0009155916,0.003077069,0.1608114,0.006034508,0.8251298,0.0002732999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6396181,0.004536631,0.0183071,0.0004373565,0.003720192,0.000122986,0.000001042979,0.001057409,0.3321992],"genre_scores_gemma":[0.9957385,0.00009720813,0.0005959121,0.00004127712,0.00001676666,0.000009036988,3.688757e-7,0.000004655812,0.003496242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7391582,"threshold_uncertainty_score":0.1305566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207083823629614,"score_gpt":0.2253008686210104,"score_spread":0.2032300303847143,"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."}}