{"id":"W4400645242","doi":"10.1016/j.aquaculture.2024.741356","title":"Exploring the regulatory landscape of non-coding RNAs in aquaculture bacterial pathogens: Piscirickettsia salmonis and Francisella noatunensis","year":2024,"lang":"en","type":"article","venue":"Aquaculture","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Biology; Francisella; Aquaculture; Ecology; Genetics; Zoology; Fishery; Francisella tularensis; Fish <Actinopterygii>; Gene; Virulence","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":[0.0003274968,0.0003780812,0.0004471634,0.0001637899,0.0002068338,0.00009486925,0.0003062758,0.0002932815,0.0002262522],"category_scores_gemma":[0.00003663247,0.0002316388,0.00020459,0.0005202115,0.0002291206,0.000307411,0.0001727834,0.0005225383,0.0001459472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003252079,"about_ca_system_score_gemma":0.00003515496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006820492,"about_ca_topic_score_gemma":0.0001024095,"domain_scores_codex":[0.9983317,0.0001371534,0.0004314599,0.0005683057,0.00008247678,0.0004489027],"domain_scores_gemma":[0.9993535,0.00008870925,0.0001040301,0.0003542277,0.00006106785,0.0000384088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001364956,0.00006548205,0.0007617878,0.0002601354,0.0003315858,0.00005963691,0.009416443,0.00000318572,0.9388088,0.001277528,0.03856134,0.01031759],"study_design_scores_gemma":[0.003363287,0.0002056725,0.1277514,0.001440131,0.0008425633,0.000205952,0.01352872,0.00005276259,0.177537,0.0002392801,0.6734495,0.001383734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771104,0.01757048,0.00005465548,0.0008843602,0.001298734,0.0005564346,0.0001493967,0.0001227853,0.002252717],"genre_scores_gemma":[0.9956834,0.001053795,0.00005786606,0.0001616673,0.0001578863,0.00005165103,0.0003050553,0.00003722198,0.002491414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7612718,"threshold_uncertainty_score":0.9445957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018566375365875,"score_gpt":0.2248006080300845,"score_spread":0.2046149442764258,"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."}}