{"id":"W2168542995","doi":"10.1111/jfs.12172","title":"Determinants of Future Microbial Food Safety in <scp>C</scp>anada for risk communication","year":2015,"lang":"en","type":"article","venue":"Journal of Food Safety","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food safety; Ranking (information retrieval); Risk analysis (engineering); Context (archaeology); Business; Food safety risk analysis; Commodity; Computer science; Environmental planning; Marketing; Geography; Biology; Food 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":[0.001441011,0.0001644997,0.0004681483,0.000040556,0.0001592214,0.00002047309,0.0005884048,0.0001636847,0.00001044881],"category_scores_gemma":[0.0005656795,0.00007354211,0.0002471659,0.0003233026,0.00006952247,0.0002433749,0.00009079227,0.0003249084,0.000001709094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008870594,"about_ca_system_score_gemma":0.00008264264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000818831,"about_ca_topic_score_gemma":0.007918593,"domain_scores_codex":[0.9980325,0.0002928811,0.0009459192,0.0001541376,0.0002924608,0.0002820981],"domain_scores_gemma":[0.9976785,0.0007396112,0.0009757407,0.0001166807,0.0003243353,0.0001651658],"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":[0.008731479,0.003031684,0.04957025,0.0002611206,0.000550815,0.00003608501,0.0088572,0.001645707,0.1389736,0.00318374,0.01998154,0.7651768],"study_design_scores_gemma":[0.009159903,0.02254633,0.4496841,0.0004926312,0.0001987287,0.0002705005,0.01432951,0.000248621,0.05926345,0.007584913,0.4357679,0.0004534643],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957396,0.001618007,0.0000253688,0.001331532,0.0003581257,0.0002460769,0.0003475428,0.000007697518,0.0003260871],"genre_scores_gemma":[0.9973215,0.001014441,0.001081116,0.0001029548,0.0004273145,0.000002600372,0.00001819175,0.000002295082,0.00002953076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7647234,"threshold_uncertainty_score":0.4418761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604700218204882,"score_gpt":0.2368980066973016,"score_spread":0.2108510045152528,"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."}}