{"id":"W4386356337","doi":"10.32920/24073350.v1","title":"Food Safety and Diversity: Knowledge Transfer/Translation and Chinese Newcomers in Toronto","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Immigration; Food safety; Ethnic group; Public health; Diversity (politics); Agency (philosophy); Public relations; Population; Knowledge transfer; Business; Cultural diversity; Political science; Economic growth; Medicine; Sociology; Environmental health; Nursing; Management; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006414734,0.0004596004,0.0004980739,0.001526562,0.01898031,0.006230388,0.001581185,0.001101794,0.006458767],"category_scores_gemma":[0.008008213,0.0004895828,0.00044952,0.003021597,0.005179475,0.002236294,0.007498616,0.002692782,0.0005181664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05530487,"about_ca_system_score_gemma":0.1014402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9019303,"about_ca_topic_score_gemma":0.9379149,"domain_scores_codex":[0.9962153,0.001188074,0.0002024558,0.0003565389,0.0007824323,0.00125528],"domain_scores_gemma":[0.9924362,0.001961706,0.0004057041,0.0003397653,0.001687157,0.003169414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004078694,0.0000751742,0.0112282,0.000151479,0.00000664547,0.001711932,0.9642828,0.00002424135,0.0005038555,0.001004612,0.003492249,0.017478],"study_design_scores_gemma":[0.00001466306,0.0001000798,0.03137095,0.000230263,0.00001184274,0.000134912,0.9400075,0.0000751241,0.000194568,0.0001197322,0.02771414,0.00002628487],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562486,0.001561692,0.0001829513,0.01126544,0.000223868,0.0003198619,0.0002133686,0.00002088877,0.02996323],"genre_scores_gemma":[0.9775263,0.002683606,0.0005352786,0.001753986,0.00003392225,0.0001538058,0.0002050067,0.00002679855,0.0170812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09806967,"threshold_uncertainty_score":0.4012668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705696116809722,"score_gpt":0.2584961180409149,"score_spread":0.2014391568728177,"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."}}