{"id":"W2024707034","doi":"10.1371/journal.pone.0084772","title":"Network Analysis Highlights Complex Interactions between Pathogen, Host and Commensal Microbiota","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mutualism (biology); Commensalism; Host (biology); Mucus; Bacteria; Pathogen; Pathogenic bacteria; Salvelinus; Zoology; Microbiology; Ecology; Fish <Actinopterygii>; Genetics; Trout","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007718646,0.0003441256,0.000428626,0.002306324,0.0004382889,0.001054063,0.000256137,0.0002992213,0.001398054],"category_scores_gemma":[0.002181988,0.0001412791,0.000428643,0.001633693,0.0003099479,0.0007655873,0.0005503694,0.0003114969,0.0001493415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004283844,"about_ca_system_score_gemma":0.0004041982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932151,"about_ca_topic_score_gemma":0.004509643,"domain_scores_codex":[0.9993427,0.0002269123,0.00003932825,0.0001842943,0.0001225874,0.00008414497],"domain_scores_gemma":[0.9988386,0.0006196664,0.0002708328,0.00006980322,0.0001223513,0.0000786743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009647629,0.0002366001,0.5533528,0.001495467,0.001740885,0.001472872,0.001495171,0.09519567,0.1136176,0.01431457,0.004049197,0.2120644],"study_design_scores_gemma":[0.00001970732,0.0002843431,0.5439287,0.000111674,0.0005126945,0.001005098,0.001398725,0.4073696,0.00618221,0.03015472,0.00896228,0.0000702546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91378,0.001920794,0.07792435,0.0005763907,0.0000366402,0.0000570566,0.002313796,0.000287844,0.003103088],"genre_scores_gemma":[0.9851061,0.0005665526,0.01223781,0.00003973566,0.00002228082,0.0000370566,0.001440119,0.00001438189,0.0005358562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002932151,"threshold_uncertainty_score":0.005830169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721023986520104,"score_gpt":0.2255310396212039,"score_spread":0.1883207997560028,"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."}}