{"id":"W2439096085","doi":"10.3868/s050-005-016-0015-3","title":"TOWARDS A HUMAN DIGNITY BASED APPROACH TO FOOD SECURITY: LESSONS FROM CHINA AND INDIA","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dignity; China; Food security; Business; Human security; Economic growth; Political science; Environmental resource management; Environmental planning; Geography; Economics; Agriculture; Law","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":[0.004620856,0.000534567,0.0004696393,0.001308801,0.01097259,0.007105199,0.002296821,0.003788728,0.00553542],"category_scores_gemma":[0.00380036,0.0001990026,0.0004173651,0.002002528,0.03345916,0.004938639,0.007393787,0.006537747,0.0002482341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01939197,"about_ca_system_score_gemma":0.0287193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1580781,"about_ca_topic_score_gemma":0.2300722,"domain_scores_codex":[0.9976336,0.0009358608,0.00004961624,0.0001523653,0.0002852254,0.0009433651],"domain_scores_gemma":[0.9977489,0.0008602219,0.0001547864,0.0001705431,0.0003514741,0.0007140851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001069817,0.0002110012,0.01470895,0.000180855,0.00005018877,0.001725142,0.1408527,0.001017765,0.0005620884,0.770052,0.007671844,0.06286043],"study_design_scores_gemma":[0.00009304717,0.0004001438,0.04015271,0.001074602,0.00009997682,0.000714482,0.2975176,0.001794028,0.0009363438,0.4947665,0.1623358,0.0001148681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4741464,0.004879061,0.003070479,0.1737625,0.0003845056,0.0001185747,0.00005874053,0.00004077251,0.343539],"genre_scores_gemma":[0.98776,0.001203188,0.0006171077,0.003894206,0.00003351555,0.00002714473,0.00001245897,0.000008471942,0.006443882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580781,"threshold_uncertainty_score":0.3143159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553490676789168,"score_gpt":0.2172232837305655,"score_spread":0.2016883769626738,"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."}}