{"id":"W4386907916","doi":"","title":"Millets for Food and Nutrition Security in India: Determinants and Policy Implications","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; MacEwan University","funders":"","keywords":"Food security; Agricultural economics; Economics; Natural resource economics; Biology; Agriculture; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003268929,0.0001211823,0.000294646,0.0000561269,0.0002259687,0.00068096,0.0003745159,0.00008340791,0.000307462],"category_scores_gemma":[0.0001532218,0.00005746529,0.00005447293,0.0003954587,0.00004557429,0.001181525,0.0003099859,0.0001185991,6.560333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000025531,"about_ca_system_score_gemma":0.00002194984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025004,"about_ca_topic_score_gemma":0.001644744,"domain_scores_codex":[0.9990508,0.0000835184,0.0003359382,0.0002741469,0.00007216408,0.0001834177],"domain_scores_gemma":[0.9989294,0.0004715675,0.0003163145,0.00004996915,0.0001104979,0.0001222487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036093,0.0003486718,0.6461684,0.0000883035,0.00005220071,0.000006933947,0.0001581561,7.031153e-7,0.1928532,0.0008637234,0.003059303,0.1562969],"study_design_scores_gemma":[0.0002252182,0.00002572589,0.9557039,0.00007113737,0.00001337042,0.00003025753,0.0001701522,0.000009829779,0.006507668,0.02241444,0.01468072,0.000147641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877018,0.008759962,7.468957e-7,0.002327845,0.00004852865,0.0003571595,0.0002484033,0.000005555029,0.0005499775],"genre_scores_gemma":[0.9754043,0.02401366,0.00005343245,0.0002673532,0.0001500054,0.00006161297,0.00003025708,0.000001315158,0.00001802306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3095355,"threshold_uncertainty_score":0.6566513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852953784393159,"score_gpt":0.4988555559804487,"score_spread":0.3135601775411328,"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."}}