{"id":"W1958763496","doi":"","title":"Study on Influencing Factors of Food Security in China Based on Historical Data From 1978 to 2013","year":2015,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Livelihood; Agriculture; Per capita; China; Consumption (sociology); Index (typography); Business; Agricultural economics; Value (mathematics); Social security; Economic growth; Economics; Public economics; Geography; Social science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006237865,0.0002184469,0.0002200406,0.002424423,0.0004999269,0.0004165944,0.0002999991,0.0001482266,0.001357406],"category_scores_gemma":[0.001148897,0.0001596423,0.0004156055,0.004268411,0.00023105,0.0003337283,0.0003978226,0.000252402,0.0001593121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785799,"about_ca_system_score_gemma":0.001870458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1487122,"about_ca_topic_score_gemma":0.2166142,"domain_scores_codex":[0.9996958,0.00002510428,0.00004935786,0.00005330225,0.00009536505,0.00008119643],"domain_scores_gemma":[0.9990539,0.0001120389,0.0003505748,0.00005914164,0.0002768665,0.0001473657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001208113,0.00001107206,0.9940041,0.00002537599,0.00003006759,0.00008837987,0.00043083,0.0001602127,0.00009876926,0.0001437728,0.0005276093,0.004467702],"study_design_scores_gemma":[3.875568e-7,0.000005041784,0.9987588,0.000006682694,0.000009677831,0.00002291716,0.0002240141,0.0001386511,0.00003625933,0.00001165202,0.00078359,0.000002328901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946806,0.0004096901,0.0001227532,0.0001322275,0.00001040619,0.00001291423,0.002959614,0.000004631747,0.001667156],"genre_scores_gemma":[0.9952416,0.0006526355,0.00009339883,0.00002637339,0.00001390249,0.00001677466,0.003246672,0.000002180798,0.0007065599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487122,"threshold_uncertainty_score":0.2956932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5668225513426346,"score_gpt":0.5504600896887405,"score_spread":0.0163624616538941,"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."}}