{"id":"W4383619239","doi":"10.1016/j.jneb.2023.05.011","title":"Farm Clinic (F2C): A Food Recovery Produce Rx Model to Reduce Food Loss Connecting Under-Resourced Patients With Local Produce","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Food security; Work (physics); Business; Medicine; Environmental health; Medical prescription; Food insecurity; Agricultural science; Geography; Nursing; Biology; Engineering; Agriculture","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":[0.0007716211,0.0003330266,0.0002673396,0.0004125971,0.002627934,0.001087739,0.001524297,0.001210632,0.1001377],"category_scores_gemma":[0.001464385,0.0002624887,0.0007652959,0.0002897829,0.0004161171,0.000860098,0.002395804,0.001624455,0.008576755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138559,"about_ca_system_score_gemma":0.004975098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218187,"about_ca_topic_score_gemma":0.02808219,"domain_scores_codex":[0.9995339,0.0001271469,0.00001897548,0.00007689563,0.0000621816,0.0001809521],"domain_scores_gemma":[0.9973985,0.0001674925,0.0001773765,0.00009058208,0.0001700448,0.001996041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002384638,0.03117645,0.05695679,0.0004427395,0.0001523043,0.002280283,0.001026902,0.0006519248,0.003386894,0.001709928,0.3873536,0.5124775],"study_design_scores_gemma":[0.01076415,0.03619802,0.3383587,0.001686832,0.0006095931,0.008550582,0.009534168,0.00687606,0.003890519,0.005260008,0.5780103,0.0002611212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6870971,0.001367727,0.01184265,0.05722734,0.002501606,0.004226289,0.002664923,0.004082168,0.2289901],"genre_scores_gemma":[0.7550575,0.001615261,0.04053856,0.03450331,0.001846481,0.002743578,0.002283666,0.0006403681,0.1607713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001377,"threshold_uncertainty_score":0.334994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1590618133213562,"score_gpt":0.4459329326338079,"score_spread":0.2868711193124517,"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."}}