{"id":"W2788872910","doi":"10.15353/cfs-rcea.v5i1.230","title":"Finding formula: Community-based organizational responses to infant formula needs due to household food insecurity","year":2018,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Food insecurity; Injustice; Food security; Sample (material); Infant formula; Welfare; Poverty; Business; Economic growth; Political science; Economics; Psychology; Geography; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004294312,0.0001930259,0.0002317032,0.0010352,0.007367806,0.00215516,0.001072357,0.0007665203,0.002211474],"category_scores_gemma":[0.00885311,0.0002057412,0.0001405396,0.001019692,0.005090058,0.001022293,0.003560162,0.001045357,0.00007872699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008433509,"about_ca_system_score_gemma":0.01140408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2520523,"about_ca_topic_score_gemma":0.4199787,"domain_scores_codex":[0.9966568,0.001826831,0.00008339029,0.0001472384,0.0005241126,0.0007617035],"domain_scores_gemma":[0.9951712,0.002218622,0.0008305602,0.0002186052,0.0007217801,0.0008391401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004297916,0.00006237539,0.04514216,0.00008076966,0.000007016382,0.0006977287,0.9322226,0.00004556315,0.0008684968,0.001569524,0.001196396,0.01806438],"study_design_scores_gemma":[0.000002779461,0.00003023129,0.01465102,0.00005033176,0.000003402227,0.00007810583,0.9800032,0.00004501524,0.0001441692,0.0001828036,0.004802643,0.000006315845],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937025,0.000163138,0.0001977572,0.002151167,0.00001562068,0.00002982316,0.00002738732,0.000004186932,0.00370835],"genre_scores_gemma":[0.998445,0.0001889659,0.0001702083,0.000236846,0.000005219436,0.00002083172,0.00001214322,0.000002540015,0.0009183011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7479477,"threshold_uncertainty_score":0.5011703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2662709215848675,"score_gpt":0.3921392246584879,"score_spread":0.1258683030736205,"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."}}