{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002505842,0.0002178097,0.0002240061,0.0003137313,0.0002812082,0.0005618575,0.0001755299,0.0003095708,0.001193272],"category_scores_gemma":[0.0004521833,0.0001536441,0.0002071265,0.0001782292,0.0003427047,0.0003700346,0.0003304179,0.0004242777,0.00028456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120391,"about_ca_system_score_gemma":0.0004164546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039592,"about_ca_topic_score_gemma":0.005294333,"domain_scores_codex":[0.9998122,0.00002435998,0.0000060594,0.0000698153,0.00004267715,0.00004490118],"domain_scores_gemma":[0.9997085,0.00009907637,0.00007645223,0.00001119308,0.0000588177,0.00004590541],"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":[0.0001901742,0.00002695596,0.005923203,0.00006506246,0.00001225444,0.00007125782,0.000167764,0.0002915905,0.986628,0.0006684391,0.0001232397,0.005832154],"study_design_scores_gemma":[0.00004526142,0.001283707,0.5216424,0.0001491596,0.0001635613,0.0004162409,0.003148144,0.02496536,0.4278684,0.002516193,0.01773813,0.00006329733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9918719,0.002152852,0.002689106,0.0002045066,0.0000457304,0.00001321042,0.0003196297,0.00003835921,0.002664642],"genre_scores_gemma":[0.9958168,0.0004754986,0.001402038,0.0001855598,0.00001967353,0.00001502045,0.0003669788,0.00001615447,0.001702351],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002039592,"threshold_uncertainty_score":0.0040555,"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."}}