{"id":"W2967515408","doi":"10.1097/fch.0000000000000236","title":"Families in Context","year":2019,"lang":"en","type":"article","venue":"Family & Community Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Odds; Immigration; Food insecurity; Context (archaeology); Geography; Longitudinal data; Demography; Population; Environmental health; Food security; Psychology; Sociology; Medicine; Logistic regression","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":[0.0008765361,0.0002702299,0.0003292933,0.0008887503,0.003847906,0.002689267,0.0006168925,0.0004136941,0.01747677],"category_scores_gemma":[0.003121643,0.0001561925,0.0001903149,0.0016486,0.001102661,0.001982744,0.003906094,0.0007797977,0.001050005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056124,"about_ca_system_score_gemma":0.003619351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05692862,"about_ca_topic_score_gemma":0.1029009,"domain_scores_codex":[0.99913,0.0004049973,0.00002527743,0.0001675127,0.00007591792,0.0001964805],"domain_scores_gemma":[0.9993041,0.000134818,0.00012871,0.00007984967,0.000132025,0.0002206277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001318551,0.0001682458,0.3342381,0.000312596,0.0001769579,0.006922944,0.1351176,0.0007794398,0.0007432404,0.1518788,0.1147694,0.2547609],"study_design_scores_gemma":[0.00001353964,0.00007780758,0.1221728,0.000956011,0.00007981675,0.002615424,0.2161893,0.0003208576,0.0002617813,0.031457,0.6258106,0.00004509995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835182,0.007706248,0.008888805,0.02126618,0.0007173439,0.0001877975,0.008138026,0.0001975772,0.2693798],"genre_scores_gemma":[0.9734157,0.00308653,0.00249675,0.001855512,0.00007029553,0.0001186902,0.00137304,0.00003186188,0.01755167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05692862,"threshold_uncertainty_score":0.1131945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2416353496682968,"score_gpt":0.4824594089506911,"score_spread":0.2408240592823943,"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."}}