{"id":"W4402785455","doi":"10.1016/j.jaa.2024.101624","title":"Hunting, Herding, and diet breadth. A landscape based approach to niche shifting in subsistence economies (Gobi Desert)","year":2024,"lang":"en","type":"article","venue":"Journal of Anthropological Archaeology","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Trent University; Social Sciences and Humanities Research Council of Canada; University of Arizona; American Council of Learned Societies","keywords":"Herding; Subsistence agriculture; Desert (philosophy); Geography; Niche; Subsistence economy; Ecology; Desert climate; Economic geography; Economy; Archaeology; Agriculture; Arid; Economics; Political science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007206903,0.0001401406,0.0003357266,0.0001721173,0.00007710994,0.00002388177,0.000264851,0.0001096525,0.001109202],"category_scores_gemma":[0.0001310531,0.00009810886,0.00007460051,0.0002118444,0.0008806466,0.0001480344,0.0003900959,0.0003098554,0.00003930736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005833267,"about_ca_system_score_gemma":0.0000142869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001710288,"about_ca_topic_score_gemma":0.0007668344,"domain_scores_codex":[0.9987054,0.0001447258,0.0003853239,0.0003001155,0.0001045333,0.0003598515],"domain_scores_gemma":[0.9993955,0.000285428,0.0001027237,0.00009039616,0.000006822534,0.0001190686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002412942,0.0001608472,0.9864793,0.00004603676,0.00003331118,0.000267521,0.001454561,0.001691316,0.0002051645,0.002955348,0.00131004,0.005155297],"study_design_scores_gemma":[0.0007504847,0.002666063,0.9545974,0.00005889192,0.00004015377,0.0002934889,0.002205601,0.01274303,0.00006374831,0.004280305,0.02200578,0.000295095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817455,0.0004805547,0.002706297,0.005306461,0.0002320071,0.0001383173,9.943143e-7,0.00002016922,0.009369638],"genre_scores_gemma":[0.9923528,0.0001663661,0.006854115,0.0003647144,0.00008038918,0.000008860411,9.827423e-7,0.000008382733,0.0001633633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03188191,"threshold_uncertainty_score":0.9998039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361930717626521,"score_gpt":0.2536608798926169,"score_spread":0.2400415727163517,"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."}}