{"id":"W2325313660","doi":"10.7183/0002-7316.79.4.67","title":"Labor Costs for Prehistoric Earthwork Construction: Experimental and Archaeological Insights from the Lower Yangzi Basin, China","year":2015,"lang":"en","type":"article","venue":"American Antiquity","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"American Council of Learned Societies","keywords":"Earthworks; Prehistory; Digging; Archaeology; Structural basin; China; Scale (ratio); Geography; Engineering; Geology; Geotechnical engineering; Paleontology; Cartography","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":[0.0000965581,0.0001212945,0.0001806505,0.00001246145,0.0003525394,0.0000087739,0.0001269475,0.00003188697,0.0001616178],"category_scores_gemma":[0.00004130529,0.00007580115,0.00003780501,0.0000993748,0.003193264,0.00009158646,0.00007423425,0.0001028372,0.00003270583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001180128,"about_ca_system_score_gemma":0.00001618629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832059,"about_ca_topic_score_gemma":0.0008551392,"domain_scores_codex":[0.9991844,0.0001062944,0.0001100125,0.0002648226,0.0001333147,0.0002011423],"domain_scores_gemma":[0.9994985,0.0001848165,0.0000722216,0.000116424,0.00001015015,0.0001178619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001729382,0.00003529325,0.9771225,7.959474e-7,0.00002144651,0.00000608134,0.001298744,0.000008103507,0.00002436893,0.0003823325,0.001220054,0.01970735],"study_design_scores_gemma":[0.0002865026,0.0006594972,0.9608398,0.000004331318,0.00001041023,0.0000107108,0.002380642,0.0001085669,0.0001530202,0.0009901765,0.0344336,0.0001227144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940104,0.002777139,0.0002573662,0.001301494,0.0003965053,0.0001893127,0.00009669011,0.00002757668,0.0009435271],"genre_scores_gemma":[0.9964339,0.0001527844,0.002247278,0.000870523,0.0001656862,0.00000465001,0.00003860925,0.000002385205,0.00008415525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03321354,"threshold_uncertainty_score":0.9995195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372134453207745,"score_gpt":0.2237892868991195,"score_spread":0.210067942367042,"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."}}