{"id":"W4286457152","doi":"10.15184/aqy.2022.80","title":"Prehistoric agricultural decision making in the western Himalayas: ecological and social variables","year":2022,"lang":"en","type":"article","venue":"Antiquity","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Sichuan University; Max-Planck-Gesellschaft; Chinese Academy of Sciences","keywords":"Prehistory; Geography; Agriculture; Arid; Altitude (triangle); Ecology; Crop; Archaeology; Biology; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004238829,0.0001890541,0.0001406401,0.0006810556,0.001315412,0.001468857,0.000258019,0.0003382926,0.001509881],"category_scores_gemma":[0.001418931,0.0002062844,0.00009705652,0.001029113,0.001264329,0.0005263152,0.0004758182,0.0005067081,0.0001826172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352127,"about_ca_system_score_gemma":0.0006094934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08602238,"about_ca_topic_score_gemma":0.1642986,"domain_scores_codex":[0.9998146,0.00007289422,0.000008674489,0.00002330377,0.00002282396,0.00005777626],"domain_scores_gemma":[0.9991083,0.0002867642,0.0002731567,0.00002648024,0.00006951788,0.0002357902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082727,0.0001565443,0.9549795,0.00001693263,0.0000485628,0.0002897685,0.03772915,0.0002493686,0.0004506258,0.0003629389,0.0001744253,0.005433826],"study_design_scores_gemma":[0.00000233093,0.00002444279,0.988193,0.000006077135,0.000003822456,0.00003644627,0.01122018,0.0001859783,0.00002223842,0.0001059273,0.0001962997,0.000003363101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996239,0.00005097064,0.00001129379,0.00002777004,8.850104e-7,0.000001135042,0.00001383337,3.384582e-7,0.0002698938],"genre_scores_gemma":[0.9997881,0.00004023303,0.00001209884,0.000006844753,0.000001950159,0.000001188402,0.00001906026,3.460804e-7,0.0001302718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08602238,"threshold_uncertainty_score":0.1710433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604133011425182,"score_gpt":0.225508319500425,"score_spread":0.2094669893861731,"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."}}