{"id":"W2416334322","doi":"","title":"FoodNet Canada's Source Attribution of Campylobacteriosis Using an Innovative Subtyping Method of Comparative Genomic Fingerprinting","year":2015,"lang":"en","type":"article","venue":"2015 Annual Meeting (July 25 - 28, 2015)","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Subtyping; Campylobacteriosis; DNA profiling; Computational biology; Attribution; Biology; Genetics; Computer science; Campylobacter jejuni; Psychology; Bacteria; Social psychology; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002431137,0.0003153079,0.0008416892,0.00004916817,0.0001580498,0.00002467694,0.0004284763,0.0002086517,0.00002945172],"category_scores_gemma":[0.0005374412,0.0001708494,0.00008964508,0.0006729541,0.000143161,0.0002708392,0.0002345146,0.0002547902,0.00000576995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226648,"about_ca_system_score_gemma":0.0002449325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2114347,"about_ca_topic_score_gemma":0.05004581,"domain_scores_codex":[0.9967139,0.0009379702,0.0009221614,0.0005029896,0.0003445953,0.0005783352],"domain_scores_gemma":[0.996637,0.0006065547,0.001081563,0.0001539694,0.001273988,0.0002469205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003149729,0.0002432093,0.1693553,0.0000558427,0.0002060137,0.000004820622,0.007186858,0.0024425,0.8058149,0.0001870244,0.004825342,0.009363255],"study_design_scores_gemma":[0.001488789,0.002205568,0.7534427,0.000617846,0.0002302209,0.0001050713,0.02971442,0.008013493,0.1291123,0.0004172756,0.07268749,0.001964829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975324,0.0002313693,0.0006139863,0.0002682054,0.000296607,0.000239172,0.0003354751,0.000039839,0.0004428917],"genre_scores_gemma":[0.9953908,0.000006750943,0.003917995,0.0001425475,0.0003119829,0.000004877127,0.000165436,0.000004595724,0.00005498607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767026,"threshold_uncertainty_score":0.9672884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08356501302489469,"score_gpt":0.3228706905026282,"score_spread":0.2393056774777335,"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."}}