{"id":"W7056130779","doi":"","title":"An economic analysis of «Salmonella» detection in fresh produce, poultry, and eggs using whole genome sequencing technology in Canada","year":2018,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Quality (philosophy); Productivity; Economic cost; Economic analysis; Economic indicator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175623,0.0005292173,0.001248509,0.00182895,0.0001576319,0.00006035232,0.0007391446,0.0005760401,0.001877073],"category_scores_gemma":[0.0001562991,0.0005576983,0.00007084304,0.000660141,0.0002078013,0.000402685,0.0003026099,0.0003427041,0.00008770006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680743,"about_ca_system_score_gemma":0.0003197949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8310879,"about_ca_topic_score_gemma":0.911152,"domain_scores_codex":[0.9964016,0.0004244961,0.0009942398,0.001218807,0.0002872042,0.0006736549],"domain_scores_gemma":[0.9979615,0.00003928371,0.0007923747,0.000993793,0.00007167809,0.0001414253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006269532,0.00002689781,0.001066411,0.0001220299,0.0001078275,0.00003026223,0.00000432767,0.001610823,0.9958194,0.00006606948,0.000001539973,0.001081729],"study_design_scores_gemma":[0.0007600018,0.00015997,0.002448327,0.0004075292,0.0003986748,0.00003635496,0.0004770363,0.0004248091,0.9872848,0.0004613779,0.005886482,0.001254613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918677,0.000205616,1.833469e-7,0.0000069892,0.0005011437,0.000547747,0.001616284,0.0001145119,0.005139792],"genre_scores_gemma":[0.9977375,0.00003757324,0.000636275,0.00003222337,0.00005236429,0.00003294326,0.00003278464,0.0003081222,0.00113025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0800641,"threshold_uncertainty_score":0.9996874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577157340690315,"score_gpt":0.2280660894921926,"score_spread":0.2122945160852895,"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."}}