{"id":"W4296657469","doi":"10.2196/41418","title":"Changes in Food Insecurity Among Individuals Using a Telehealth and Nutrition Platform: Longitudinal Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Food security; Environmental health; Baseline (sea); Psychological intervention; Supplemental Nutrition Assistance Program; Demographics; Medicine; Agriculture; Psychology; Business; Geography; Political science; Demography; Nursing","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":[0.001153277,0.0002451373,0.000313108,0.0007265443,0.0008861013,0.0008302761,0.0004218445,0.0006192016,0.001575287],"category_scores_gemma":[0.00202906,0.0004866604,0.0005902889,0.0009712356,0.0002598139,0.001064399,0.0007396998,0.001334173,0.0004642186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725977,"about_ca_system_score_gemma":0.0004371912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184615,"about_ca_topic_score_gemma":0.01411089,"domain_scores_codex":[0.9994445,0.0001231332,0.00006070626,0.0001256512,0.0001263585,0.0001195349],"domain_scores_gemma":[0.9982952,0.0001645697,0.0007125697,0.0001651621,0.0003049956,0.0003573548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005816392,0.0001282608,0.9987255,0.000004487109,0.00002954815,0.00002670772,0.0002139571,0.000007327929,0.00006725515,0.000006687291,0.00008103689,0.0006510212],"study_design_scores_gemma":[0.000008135333,0.0001983354,0.9987342,0.000009931277,0.0000201171,0.00008716847,0.0006111115,0.00009991683,0.00003133253,0.000009665666,0.0001858603,0.0000042509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990585,0.00006710431,0.00007098079,0.00003764189,0.000003944541,0.00002106581,0.0005218641,0.000001954031,0.0002169176],"genre_scores_gemma":[0.9988278,0.00008049844,0.0001171916,0.00007393098,0.000007170649,0.00004237894,0.0005955721,0.000001772124,0.0002536848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184615,"threshold_uncertainty_score":0.02355438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4684145242323927,"score_gpt":0.5606981068664406,"score_spread":0.0922835826340479,"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."}}