{"id":"W7077038690","doi":"10.1016/j.qsa.2025.100295","title":"Classic Maya landscape adaptation, agricultural productivity, and political dynamics in the upper Belize River Valley","year":2025,"lang":"en","type":"article","venue":"Quaternary Science Advances","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of London; Alphawood Foundation; Rust Family Foundation; National Science Foundation; University of Pittsburgh; Department of Anthropology, College of Arts and Sciences, Cornell University","keywords":"Agriculture; Population; Maya; Agrarian society; Agricultural productivity; Human settlement; Population growth; Ecotone; Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005676462,0.0001579475,0.0001901763,0.001040259,0.001250195,0.001499886,0.0004761317,0.0002257327,0.00139801],"category_scores_gemma":[0.0008459529,0.000156428,0.0002193483,0.001157147,0.001583019,0.0006669667,0.001077038,0.0003096466,0.00006319978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005261573,"about_ca_system_score_gemma":0.001345861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3016234,"about_ca_topic_score_gemma":0.531672,"domain_scores_codex":[0.9996991,0.00008432282,0.00000679825,0.00006043183,0.00003426412,0.0001150172],"domain_scores_gemma":[0.9997171,0.00006921787,0.00006997997,0.00002281694,0.00003955403,0.00008137125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009502655,0.0001869562,0.9540277,0.00003049476,0.00009384505,0.0007893391,0.008426002,0.01205612,0.001386849,0.005552206,0.001103797,0.01625169],"study_design_scores_gemma":[0.000004500645,0.00004014006,0.9835354,0.0000166899,0.00001572856,0.0001010904,0.007352656,0.005973188,0.0000786396,0.0005076122,0.002360387,0.00001396227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977856,0.00006336204,0.0001219018,0.0001100336,0.000001772442,0.000005761791,0.00007824823,0.000007159377,0.001826113],"genre_scores_gemma":[0.9996455,0.00003654701,0.000101923,0.00001022498,0.000001317441,0.000003989956,0.00005948435,0.000001683805,0.0001394835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3016234,"threshold_uncertainty_score":0.5997355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009875821156846244,"score_gpt":0.2461186330947617,"score_spread":0.2362428119379154,"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."}}