{"id":"W4381733471","doi":"10.21203/rs.3.rs-3084278/v1","title":"A 52-week fresh food prescribing program reduces food insecurity and improves fruit and vegetable consumption in Ontario, Canada","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"Canadian Institutes of Health Research; Mitacs","keywords":"Environmental health; Medicine; Food security; Food insecurity; Consumption (sociology); Context (archaeology); Medical prescription; Micronutrient; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002924702,0.0003673527,0.0006696788,0.0006554452,0.001930919,0.0001522144,0.0003673506,0.000892712,0.0002060404],"category_scores_gemma":[0.001129974,0.0003919415,0.00005659004,0.0003865202,0.0002814037,0.0002261559,0.00236717,0.00704173,0.00001936177],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929634,"about_ca_system_score_gemma":0.008141762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791437,"about_ca_topic_score_gemma":0.9996618,"domain_scores_codex":[0.9936486,0.001569206,0.0009564671,0.00108368,0.001102827,0.001639237],"domain_scores_gemma":[0.9967228,0.001306922,0.0002736597,0.000612404,0.0004986903,0.0005855478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002733953,0.0004335778,0.929644,0.0198067,0.0001580591,0.00004701485,0.03373994,0.00003001211,0.00004019993,0.003811368,0.01034019,0.001675574],"study_design_scores_gemma":[0.001300255,0.001162632,0.9559421,0.005726275,0.00002886513,0.000001832334,0.008602459,0.0006071365,0.00002451288,0.01353795,0.0125962,0.0004697905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849564,0.003125289,0.000001006792,0.002256184,0.0008311796,0.007265626,0.000782217,0.0001839664,0.0005980639],"genre_scores_gemma":[0.9940514,0.00123074,0.0003473154,0.00007859656,0.0001952445,0.003003625,0.0004408261,0.00006073057,0.0005915341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02629812,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4076452763298375,"score_gpt":0.4887491383371895,"score_spread":0.08110386200735198,"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."}}