{"id":"W2746624119","doi":"10.2298/abs170530029p","title":"Prevalence and genetic variability of Plesiomonas shigelloides in temperate climate surface waters of the Pannonian Plain","year":2017,"lang":"en","type":"article","venue":"Archives of Biological Sciences","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Plesiomonas shigelloides; Biology; Temperate climate; RAPD; Subtropics; Agar; Microbiology; Veterinary medicine; Bacteria; Genetic diversity; Ecology; Population; Genetics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004364715,0.00008781873,0.0001987563,0.00002278858,0.0002249206,0.000009104074,0.0006904919,0.00005461884,0.00002718902],"category_scores_gemma":[0.0001592735,0.00004297385,0.0000568553,0.00005079211,0.004739211,0.00004413316,0.0004839236,0.00006292844,0.00000118389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001880633,"about_ca_system_score_gemma":0.00001615033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299297,"about_ca_topic_score_gemma":0.00001944723,"domain_scores_codex":[0.9989986,0.0002807737,0.000249084,0.0002468267,0.00002607125,0.0001986436],"domain_scores_gemma":[0.9993084,0.0002169603,0.0002232042,0.0002296892,0.00001017809,0.00001157299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003661346,0.00003915107,0.5485058,0.00003906919,0.000007482373,1.816463e-7,0.000213046,0.000006704161,0.4501295,0.0005670778,0.000001903821,0.0004535352],"study_design_scores_gemma":[0.0001921444,0.0001219377,0.9024608,0.00006870169,0.000009284277,9.479928e-7,0.0001253616,0.000008167415,0.09581151,0.001113411,0.00003322756,0.00005454314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982859,0.0004768184,0.000004630129,0.0001674544,0.00005092353,0.0001913161,0.00005978049,0.000003593309,0.0007596225],"genre_scores_gemma":[0.9991325,0.0005298904,0.0002557577,0.00001165691,0.000001773946,0.000002289814,0.000001987232,0.000001086961,0.00006307124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354318,"threshold_uncertainty_score":0.9979693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004513911778258,"score_gpt":0.253175445970717,"score_spread":0.2331303068529344,"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."}}