{"id":"W4361187315","doi":"10.1016/j.foohum.2023.03.002","title":"Enhancing quality of qualitative evidence in food safety and food security","year":2023,"lang":"en","type":"article","venue":"Food and Humanity","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Guelph","funders":"","keywords":"Food safety; Food security; Quality (philosophy); Business; Qualitative research; Quality of evidence; Food quality; Risk analysis (engineering); Environmental health; Medicine; MEDLINE; Food science; Political science; Geography; Sociology; Biology; Agriculture; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004460928,0.0001665122,0.0005031444,0.0002212259,0.001080163,0.00001080914,0.0001229625,0.0002175407,0.000106493],"category_scores_gemma":[0.001366587,0.0001706264,0.00004981935,0.0003945941,0.0001908446,0.0002971008,0.0002721538,0.0007123919,0.00002439898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008922291,"about_ca_system_score_gemma":0.0001741144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335793,"about_ca_topic_score_gemma":0.08762337,"domain_scores_codex":[0.9961037,0.001756459,0.00102901,0.0003593561,0.00027717,0.000474271],"domain_scores_gemma":[0.9964998,0.002556921,0.0003580539,0.0002507211,0.0001749647,0.0001595528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003132117,0.0001235224,0.02940178,0.004427972,0.00005791702,7.466749e-7,0.5180736,0.000002280295,0.0001156658,0.4470333,0.0002743655,0.0001757288],"study_design_scores_gemma":[0.00201168,0.002718441,0.656222,0.001567435,0.00002575132,5.655584e-7,0.1444961,0.00007592181,0.000105503,0.1908419,0.001526942,0.0004077649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950623,0.001005395,0.00003229337,0.0008077303,0.000232272,0.0007471612,0.0004097362,0.00009546706,0.001607679],"genre_scores_gemma":[0.9989772,0.0004931249,0.00007759656,0.0002131089,0.00009074141,0.00004753572,0.00002835977,0.00001274729,0.00005959038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6268203,"threshold_uncertainty_score":0.9290251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5218033328964478,"score_gpt":0.5467429847413079,"score_spread":0.02493965184486013,"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."}}