{"id":"W4407842970","doi":"10.3390/foods14050736","title":"Spatiotemporal Patterns in Production and Consumption of Major Foods in Qinghai, China","year":2025,"lang":"en","type":"article","venue":"Foods","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Food security; Consumption (sociology); Agricultural economics; Production (economics); Geography; China; Livestock; Self-sufficiency; Agriculture; Food processing; Business; Economics; Ecology; Food science; 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":[0.0004699682,0.0002833699,0.0001541204,0.0008901343,0.0003879799,0.0004054762,0.0002674716,0.0001730372,0.0006255878],"category_scores_gemma":[0.0005375565,0.0002061196,0.0003766641,0.001667516,0.0002492173,0.0002677234,0.000309864,0.0001448471,0.00005489865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117712,"about_ca_system_score_gemma":0.0008618232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1913841,"about_ca_topic_score_gemma":0.2302873,"domain_scores_codex":[0.9997867,0.00003561838,0.00002142791,0.0000720497,0.00003128397,0.00005300304],"domain_scores_gemma":[0.9995459,0.00006382151,0.0001445346,0.00003243883,0.0001084204,0.0001048888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002780545,0.00001015357,0.9942714,0.00003196273,0.00008422929,0.0001077401,0.0005663023,0.000367701,0.001105639,0.0001212886,0.0003790183,0.002926762],"study_design_scores_gemma":[9.308642e-7,0.000007772705,0.9992654,0.000002179821,0.000008555327,0.00001380942,0.0001765859,0.0003301035,0.00002142301,0.000009810537,0.0001609003,0.000002635926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981884,0.000138897,0.0001334505,0.00005680106,0.000003155258,0.000005823277,0.001190307,0.00000646275,0.0002765406],"genre_scores_gemma":[0.9984669,0.00007457538,0.0001476194,0.00001389716,0.000003402908,0.000009053311,0.001107194,0.000001613691,0.0001756778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913841,"threshold_uncertainty_score":0.3805403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008101040415281214,"score_gpt":0.23497229135578,"score_spread":0.2268712509404988,"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."}}