{"id":"W4414018642","doi":"10.1007/s10126-025-10511-3","title":"Transcriptomic Analysis of Litopenaeus vannamei: Understanding Salinity Adaptation Mechanisms in Freshwater Environments","year":2025,"lang":"en","type":"article","venue":"Marine Biotechnology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Litopenaeus; Biology; Adaptation (eye); Transcriptome; Salinity; Shrimp; Fishery; Computational biology; Ecology; Gene; Genetics; Gene expression; Neuroscience","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":[0.0001227536,0.0000934512,0.0002380185,0.0001638386,0.00004672782,0.000008528209,0.0001743745,0.0002597296,0.0003442388],"category_scores_gemma":[0.0000172402,0.00004285049,0.00009219263,0.001110285,0.0000722866,0.00004136386,0.00007410374,0.0001302684,0.000003925715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007639747,"about_ca_system_score_gemma":0.00000276982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007365386,"about_ca_topic_score_gemma":0.02526317,"domain_scores_codex":[0.9992573,0.00004767486,0.0002426496,0.000221853,0.0000785988,0.0001519706],"domain_scores_gemma":[0.9998189,0.00003723405,0.00005934403,0.00005952342,0.000006972484,0.00001806001],"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":[0.0001001112,0.0002876271,0.01491526,0.00001087055,0.0002436894,0.000005302044,0.00009031753,0.00005410656,0.8867703,0.07996245,0.0001063902,0.01745354],"study_design_scores_gemma":[0.00165489,0.0005808496,0.3968754,0.00005114111,0.0006081867,0.000002123346,0.004515296,0.009101947,0.3754239,0.1836704,0.02694952,0.0005663518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824051,0.00003881086,0.009260719,0.007175655,0.00006084371,0.0002004549,0.00007111151,0.00006309357,0.0007241889],"genre_scores_gemma":[0.99873,0.00009087432,0.0006307504,0.0001805696,0.000005341465,0.000008596133,0.0001564592,4.705192e-7,0.0001969101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5113465,"threshold_uncertainty_score":0.9925233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525347437043516,"score_gpt":0.223189822450806,"score_spread":0.1979363480803709,"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."}}