{"id":"W2072467376","doi":"10.5539/sar.v4n2p78","title":"Determinants of Household Food Insecurity in Developing Countries Evidences From a Probit Model for the Case of Rural Households in Rwanda","year":2015,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Livelihood; Food insecurity; Probit model; Developing country; Agriculture; Ordered probit; Economics; Rural area; Socioeconomics; Demographic economics; Geography; Economic growth; Political science; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347093,0.0004214859,0.0004070862,0.0008569211,0.0006405782,0.001803435,0.0006336992,0.0006496381,0.005807541],"category_scores_gemma":[0.004424123,0.0003855099,0.0009629173,0.0009469128,0.000601044,0.0007994133,0.0007440264,0.001376707,0.0008179792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091434,"about_ca_system_score_gemma":0.0007684013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04754692,"about_ca_topic_score_gemma":0.02502574,"domain_scores_codex":[0.9994118,0.0002797287,0.00002093798,0.00007360125,0.00004419182,0.0001696726],"domain_scores_gemma":[0.9965882,0.002162619,0.0007077079,0.0001268938,0.0002411595,0.0001734059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005248949,0.0004783823,0.8354869,0.0002125655,0.0004433127,0.005144431,0.004285953,0.1019358,0.0007798749,0.02757358,0.007251701,0.01588257],"study_design_scores_gemma":[0.00007559017,0.0004420531,0.3459551,0.0003438782,0.0005066629,0.001000272,0.009629493,0.6194423,0.0005139813,0.01573985,0.006253634,0.0000972874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986931,0.0003821382,0.004789322,0.001665211,0.00002135288,0.00003778805,0.0007898402,0.00004076731,0.005342555],"genre_scores_gemma":[0.9970769,0.0002857033,0.0003764007,0.00003443601,0.00001584173,0.00002102988,0.0002493561,0.000005582645,0.001934864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04754692,"threshold_uncertainty_score":0.09454036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3565561799219427,"score_gpt":0.4845074356182817,"score_spread":0.1279512556963391,"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."}}