{"id":"W2788468773","doi":"10.1155/2018/2163526","title":"Food Integrity and Food Technology Concerns in Canada: Evidence from Two Public Surveys","year":2018,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Industry Canada; Genome Canada","keywords":"Tobit model; Ordered probit; Variety (cybernetics); Probit model; Food safety; Population; Public opinion; Probit; Business; Public health; Marketing; Environmental health; Public economics; Political science; Economics; Medicine; Food science; Econometrics; Biology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003903838,0.0004336875,0.0006024681,0.002683137,0.004384821,0.002226879,0.001444202,0.000871347,0.003338395],"category_scores_gemma":[0.01841802,0.0005636493,0.0008999573,0.01038898,0.001848082,0.001004045,0.001941198,0.001404206,0.0003165096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04784339,"about_ca_system_score_gemma":0.06028705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975816,"about_ca_topic_score_gemma":0.9979699,"domain_scores_codex":[0.9934256,0.0006404153,0.0002775496,0.0005011472,0.003831752,0.001323414],"domain_scores_gemma":[0.9678255,0.004864311,0.007831921,0.001142573,0.01544213,0.002893621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001346118,0.0001230267,0.9770969,0.0001569353,0.0001183928,0.0001007193,0.004677505,0.000150487,0.00007524174,0.0004419812,0.003432226,0.01349218],"study_design_scores_gemma":[0.00001198916,0.0000289296,0.992524,0.00006658204,0.00003654587,0.00002506704,0.004126752,0.0002672133,0.00007590786,0.00004561981,0.002770947,0.00002054582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810451,0.001376649,0.0003560879,0.002109983,0.00002529306,0.0001311809,0.006452699,0.00002508981,0.008477931],"genre_scores_gemma":[0.9915895,0.00169965,0.0003711661,0.0005519597,0.00001002621,0.0000597332,0.00310352,0.00001166639,0.002602745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04784339,"threshold_uncertainty_score":0.3471297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631786427049766,"score_gpt":0.3185611081256242,"score_spread":0.1553824654206476,"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."}}