{"id":"W2112767084","doi":"10.1503/cmaj.090517","title":"Smarter inspection will improve food safety in Canada","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Food safety; Business; Government (linguistics); Food safety risk analysis; Hazard analysis and critical control points; Food inspection; Food industry; Food packaging; Quality (philosophy); Risk analysis (engineering); Marketing; Engineering; Political science; Medicine; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008607185,0.00008045015,0.0001234957,0.00002250326,0.0002762277,0.00004768858,0.0001958002,0.0001935526,0.004105718],"category_scores_gemma":[0.0004657358,0.00003769013,0.00004574274,0.0002400665,0.00001563885,0.0001445741,0.00001058305,0.001056609,0.00002128228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198633,"about_ca_system_score_gemma":0.002018742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9168717,"about_ca_topic_score_gemma":0.9999548,"domain_scores_codex":[0.9984389,0.00008314684,0.0003037759,0.0001258728,0.0006424733,0.0004058451],"domain_scores_gemma":[0.9987665,0.0001190284,0.0001103143,0.0000259822,0.000122751,0.0008554654],"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":[0.00003163693,0.0000495796,0.2994776,0.000003135835,0.00005744419,0.000252643,0.000153072,0.00000515576,0.004162177,0.0008752124,0.04711074,0.6478216],"study_design_scores_gemma":[0.0002305916,0.00008024376,0.5551561,0.000006876237,0.000002302048,0.0000507012,0.0002521399,0.00009058319,0.00003989851,0.0001353263,0.4438557,0.00009955755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318928,0.00001890601,0.000001021208,0.06389129,0.001793459,0.00005658191,0.00006001301,0.000009687798,0.002276235],"genre_scores_gemma":[0.9934486,0.00002330192,0.00001093416,0.004885904,0.001536329,0.000002170914,0.00001215137,7.816553e-7,0.0000798185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6477221,"threshold_uncertainty_score":0.9968047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003480143517901558,"score_gpt":0.1603115689724362,"score_spread":0.1568314254545346,"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."}}