{"id":"W3174905660","doi":"10.1016/j.jaa.2021.101323","title":"The evolution of agro-urbanism: A case study from Angkor, Cambodia","year":2021,"lang":"en","type":"article","venue":"Journal of Anthropological Archaeology","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; European Commission; Dumbarton Oaks Research Library and Collection; University of Oregon; National Geographic Society; National Science Foundation","keywords":"Mesoamerica; Elite; Human settlement; Urbanism; Geography; Metropolitan area; Archaeology; Settlement (finance); Economic geography; Regional science; Economy; Political science; Architecture; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001195756,0.0000935201,0.0003671967,0.00003828101,0.0008514416,0.00001133981,0.0002832706,0.0001678814,0.0008371143],"category_scores_gemma":[0.0009243932,0.00006182557,0.0002549719,0.0002399426,0.005424284,0.00008658176,0.00013565,0.0004156926,0.000005268096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897519,"about_ca_system_score_gemma":0.0005715828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01079766,"about_ca_topic_score_gemma":0.02845633,"domain_scores_codex":[0.9972077,0.001498354,0.0005191392,0.0001575745,0.0003356888,0.000281542],"domain_scores_gemma":[0.9977226,0.001144313,0.000403649,0.0001703371,0.0004148447,0.0001442668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005393118,0.004421928,0.3399479,0.0000143277,0.0007830139,0.05979471,0.3835038,0.00002397228,0.002580053,0.1829048,0.01053768,0.0149485],"study_design_scores_gemma":[0.00120515,0.002366837,0.03211588,0.00001433587,0.0001542352,0.002503671,0.8779436,0.00001537692,0.0001234386,0.03933556,0.04402665,0.0001952322],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889565,0.003802637,0.0004831488,0.004257496,0.001181357,0.00012727,0.0000072104,0.00001271293,0.001171722],"genre_scores_gemma":[0.9975553,0.0009248412,0.0006902057,0.0000917809,0.0004429824,0.000002537736,5.067141e-7,0.00000416335,0.0002876963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4944399,"threshold_uncertainty_score":0.9972824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683063796646621,"score_gpt":0.333084355960963,"score_spread":0.3062537179944967,"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."}}