{"id":"W3132252313","doi":"10.1101/2021.02.18.431648","title":"Genome-wide insights into population structure and host specificity of <i>Campylobacter jejuni</i>","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Bundesministerium für Bildung und Forschung","keywords":"Campylobacter jejuni; Biology; Genome; Host adaptation; Ecological niche; Genetics; Adaptation (eye); Population; Host (biology); Gene; Evolutionary biology; Niche; Phylogenetic tree; Ecology; Habitat; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004325669,0.0001455756,0.0002274897,0.0007267112,0.0002519032,0.0004310308,0.0001848265,0.0002749109,0.001365397],"category_scores_gemma":[0.0006557876,0.00009991603,0.0002761995,0.0008136057,0.00025279,0.000103652,0.0002683731,0.000278354,0.00013924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350434,"about_ca_system_score_gemma":0.0002200448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083601,"about_ca_topic_score_gemma":0.02579925,"domain_scores_codex":[0.9997641,0.00003532678,0.000007421906,0.0001211074,0.00002770748,0.00004441789],"domain_scores_gemma":[0.9996324,0.0001189011,0.00009150004,0.00004180899,0.00004754966,0.00006782892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005754751,0.0000493363,0.8292701,0.00008868754,0.000501018,0.0001828338,0.0003854888,0.001557982,0.1546699,0.00027437,0.000621141,0.01182362],"study_design_scores_gemma":[0.00000221452,0.00002001157,0.9983767,0.000003237174,0.00002700159,0.00005404855,0.00007853989,0.0005321474,0.0005766182,0.00002969657,0.0002971829,0.000002562008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979553,0.0001179228,0.0004995892,0.00002047668,0.000001506373,0.00000342154,0.001109932,0.00001123442,0.0002805488],"genre_scores_gemma":[0.9979359,0.00004172515,0.0003528887,0.00001494857,0.000001877258,0.000002406311,0.001531268,0.00000489274,0.0001140777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02083601,"threshold_uncertainty_score":0.04142946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327745345233155,"score_gpt":0.1997288075395087,"score_spread":0.1864513540871771,"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."}}