{"id":"W2787193025","doi":"10.1111/mcn.12557","title":"Nutritional status, food insecurity, and biodiversity among the<scp>K</scp>hasi in<scp>M</scp>eghalaya,<scp>N</scp>orth‐East<scp>I</scp>ndia","year":2017,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Wasting; Underweight; Malnutrition; Environmental health; Anthropometry; Socioeconomic status; Food security; Population; Public health; Agriculture; Obesity; Geography; Overweight","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":[0.0003407256,0.0002147212,0.0002430458,0.0008929903,0.00082293,0.0006841896,0.0002988102,0.0003908264,0.001017546],"category_scores_gemma":[0.0006252988,0.0005188326,0.0002536667,0.001180474,0.0006007254,0.0003799753,0.0004970031,0.0004380214,0.0002417119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008105009,"about_ca_system_score_gemma":0.0005762302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04250276,"about_ca_topic_score_gemma":0.08695886,"domain_scores_codex":[0.9997551,0.00005788273,0.00002610928,0.00003389394,0.00004809418,0.00007885989],"domain_scores_gemma":[0.9994587,0.00006739047,0.0001922071,0.00003198735,0.00005506191,0.0001946634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000312386,0.00006428054,0.9981445,0.000008408829,0.00001833789,0.0001108805,0.0008222689,0.00001352845,0.0002217155,0.00001468779,0.00005859696,0.0004915736],"study_design_scores_gemma":[0.000002359596,0.0000758059,0.9985752,0.000004140059,0.00000507957,0.0001352664,0.001050765,0.00004537079,0.00002488152,0.000006669548,0.0000717887,0.000002597837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997904,0.00002536056,0.000005825134,0.00001773643,7.417228e-7,0.000004144841,0.0000669242,5.232666e-7,0.00008842213],"genre_scores_gemma":[0.9997135,0.00004240705,0.00002818751,0.00002086177,0.000001369547,0.000006017972,0.00008951395,4.980914e-7,0.00009759554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04250276,"threshold_uncertainty_score":0.08451074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254179195778948,"score_gpt":0.221547844068022,"score_spread":0.2090060521102325,"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."}}