{"id":"W1764006014","doi":"10.18357/ijih.101201513202","title":"An Intersectionality Analysis of Gender, Indigeneity, and Food Insecurity among Ultrapoor Garo Women in Bangladesh","year":2014,"lang":"en","type":"article","venue":"International Journal of Indigenous Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Lakehead University","funders":"Canadian Institutes of Health Research","keywords":"Indigenous; Poverty; Intersectionality; Food insecurity; Socioeconomics; Politics; Livelihood; Gender studies; Ethnic group; State (computer science); Economic growth; Political science; Food security; Sociology; Geography; Agriculture; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002050916,0.0001521906,0.0005544286,0.001640249,0.0001066149,0.00008365693,0.0004518557,0.0000941375,0.00005425187],"category_scores_gemma":[0.00008549272,0.0001471106,0.0001605261,0.0004949809,0.0001003594,0.0004343657,0.00003350846,0.0003612393,4.53042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131377,"about_ca_system_score_gemma":0.000156983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884111,"about_ca_topic_score_gemma":0.005690958,"domain_scores_codex":[0.9973286,0.0004044455,0.001070684,0.000219227,0.0006261049,0.0003509462],"domain_scores_gemma":[0.9980562,0.0001412512,0.0009166624,0.0001515787,0.0004357219,0.0002986201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004494865,0.0009032944,0.9497744,0.00006379991,0.0006603426,0.000005407537,0.04379995,0.0002111452,0.00009694412,0.00009911044,0.00002361511,0.003912439],"study_design_scores_gemma":[0.001530802,0.001114598,0.9912159,0.0000704075,0.00005104518,0.00005693353,0.0009672692,0.0002724883,0.0008177111,0.003590351,0.0001844257,0.000127999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976801,0.000174487,0.0006221378,0.0004913651,0.0006785488,0.0001616253,0.00009673797,0.00001277495,0.00008224062],"genre_scores_gemma":[0.9985509,0.0001121079,0.0001835996,0.0008174361,0.000271474,0.000003255233,0.00004596605,0.00001395702,0.000001314507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04283268,"threshold_uncertainty_score":0.5998996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881980431963697,"score_gpt":0.3157362940129399,"score_spread":0.2969164896933029,"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."}}