{"id":"W2899979628","doi":"10.3390/vetsci5040093","title":"Competition among Escherichia coli Strains for Space and Resources","year":2018,"lang":"en","type":"article","venue":"Veterinary Sciences","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Agriculture Food and Rural Development; University of Lethbridge","funders":"","keywords":"Escherichia coli; Biology; Pathogenic Escherichia coli; Microbiology; Competition (biology); Bacteria; Food science; Ecology; Genetics; Gene","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":[0.0003435807,0.00008986744,0.0000804824,0.00003360557,0.0004435603,0.00006712247,0.0001718233,0.00004383337,0.000009385349],"category_scores_gemma":[0.0001210288,0.00007646671,0.00002633225,0.0001257431,0.001577056,0.00001028513,0.0001805777,0.00003270267,0.000001913433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004648207,"about_ca_system_score_gemma":0.00003556464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670032,"about_ca_topic_score_gemma":0.00005292974,"domain_scores_codex":[0.9992011,0.00004933376,0.00007913851,0.000307975,0.0001231236,0.000239329],"domain_scores_gemma":[0.9996956,0.00002328412,0.00003843401,0.0001106069,0.00006993428,0.00006214376],"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":[0.00006043729,0.00002277862,0.008381393,0.00002386391,0.0000162558,0.00000143979,0.0002311306,0.00000231669,0.9894511,0.0006625982,0.0006436314,0.0005031169],"study_design_scores_gemma":[0.001269568,0.02975583,0.570789,0.00009562697,0.00002339846,0.00003587415,0.003800335,0.003219876,0.06878309,0.001015656,0.3203876,0.0008241894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948953,0.0002867732,0.0004547588,0.0003039266,0.00008651859,0.0001959879,0.00001306859,0.00001260309,0.003751018],"genre_scores_gemma":[0.9944649,0.00009694399,0.00461653,0.00009771865,0.0002484481,0.00003649313,0.000004296815,0.000006029358,0.0004286751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9206679,"threshold_uncertainty_score":0.581073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752568595534866,"score_gpt":0.320586634367185,"score_spread":0.2830609484118364,"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."}}