{"id":"W3186961754","doi":"10.3390/su13158174","title":"Linking Food and Resource Access to Medical Care Access in Maputo, Mozambique","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Socioeconomic status; Vulnerability (computing); Food security; Business; Environmental health; Health care; Socioeconomics; Millennium Development Goals; Urbanization; Poverty; Economic growth; Geography; Medicine; Population; Agriculture; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004560922,0.0002066391,0.0001267257,0.001037131,0.0007869859,0.0008007792,0.0003381701,0.0002588807,0.001574869],"category_scores_gemma":[0.002002327,0.0001488185,0.0002362423,0.00167967,0.0006281637,0.0003137591,0.0009006316,0.0004436357,0.0000823041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00279791,"about_ca_system_score_gemma":0.003381666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.34312,"about_ca_topic_score_gemma":0.4468122,"domain_scores_codex":[0.9996619,0.00008039834,0.00001555703,0.00003211332,0.0000413011,0.0001686351],"domain_scores_gemma":[0.9991049,0.0002232635,0.0003810686,0.00002670739,0.0001278032,0.000136316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002680275,0.00003710091,0.989976,0.00007617311,0.00003829041,0.000315377,0.003336251,0.0001391736,0.0001879752,0.0002350209,0.0003711264,0.005260732],"study_design_scores_gemma":[0.000002084356,0.00002788627,0.9946075,0.00004663689,0.00001441251,0.00007976148,0.004344931,0.000140209,0.00003605518,0.00004521371,0.0006518689,0.000003372021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983916,0.0001606234,0.00006991051,0.0001993161,0.000001891552,0.00002344598,0.0003150626,0.000002372422,0.0008357456],"genre_scores_gemma":[0.9994492,0.0001268127,0.00009958859,0.00001952543,0.000001429971,0.00002294921,0.0001143143,5.12228e-7,0.0001657003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.34312,"threshold_uncertainty_score":0.6822456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528004343660093,"score_gpt":0.3290966739116774,"score_spread":0.3138166304750764,"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."}}