{"id":"W79208099","doi":"10.2139/ssrn.1960295","title":"Food Preference and Nutrition in India","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Preference; Food preference; Geography; Food science; Economics; Biology; Microeconomics","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":[0.0003746234,0.000109625,0.0002015073,0.0007754997,0.0006169609,0.001008933,0.0003090965,0.0004486506,0.004967866],"category_scores_gemma":[0.0011195,0.0001881101,0.0003570406,0.001719319,0.0006420693,0.0003535771,0.000529895,0.0006969732,0.000380474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173586,"about_ca_system_score_gemma":0.0005975888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099269,"about_ca_topic_score_gemma":0.139732,"domain_scores_codex":[0.9997529,0.00007078068,0.00001122707,0.00003149452,0.0000238236,0.0001097072],"domain_scores_gemma":[0.9987263,0.0005309053,0.0003107332,0.00005318519,0.00009192854,0.0002869051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004369734,0.0002188905,0.9885216,0.00003153652,0.00009308234,0.0007281844,0.0009592424,0.0004947301,0.0003646974,0.002169879,0.0005577085,0.005423502],"study_design_scores_gemma":[0.00001543717,0.00008886067,0.9949629,0.00001069807,0.00003936942,0.0002939434,0.002363122,0.0006660129,0.00007025711,0.0007471819,0.0007327644,0.000009460627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997113,0.0002669555,0.00002767591,0.0004314823,0.000004252893,0.000001273516,0.0001467198,0.000002011002,0.002006524],"genre_scores_gemma":[0.9991943,0.0001138395,0.00001707546,0.00003418697,0.000004015795,7.536639e-7,0.00004573362,8.232255e-7,0.0005892516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099269,"threshold_uncertainty_score":0.2185742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477661646214849,"score_gpt":0.1739317569539146,"score_spread":0.1491551404917661,"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."}}