{"id":"W7135017137","doi":"10.5376/ijmec.2025.15.0012","title":"Advances in <i>Scomberomorus</i> Genome Evolution-Drivers of Adaptive Evolution and Environmental Selection","year":2025,"lang":"","type":"article","venue":"International Journal of Molecular Ecology and Conservation","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Genomics; Genome; Comparative genomics; Mechanism (biology); Adaptive evolution; Mackerel; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000281915,0.0001775176,0.0002850481,0.000246411,0.00009970758,0.00001635935,0.000215642,0.0002090841,0.0001484986],"category_scores_gemma":[0.0001085274,0.0001748183,0.00009316004,0.0002405694,0.0006706466,0.0005073039,0.0001583298,0.0002383591,0.000004242985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977188,"about_ca_system_score_gemma":0.0000915158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002514848,"about_ca_topic_score_gemma":0.0002016824,"domain_scores_codex":[0.9983488,0.0001785816,0.0006866559,0.0002864158,0.0003173228,0.0001821969],"domain_scores_gemma":[0.9990481,0.0001557661,0.0005661128,0.00005982814,0.00009842995,0.00007179759],"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":[0.0004343508,0.0003623176,0.06555475,0.00001113444,0.0001254248,0.00001537259,0.00008747411,0.003222587,0.9146866,0.01249627,0.00001827494,0.002985483],"study_design_scores_gemma":[0.001335856,0.0004926668,0.9511377,0.00009775002,0.00008862768,0.0000526777,0.0001633676,0.008371387,0.007382231,0.03015293,0.0005620563,0.0001627487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839785,0.003069956,0.0106557,0.001463948,0.0002819847,0.0001832227,0.00003902878,0.000003424596,0.00032424],"genre_scores_gemma":[0.9964224,0.002449356,0.0007607556,0.000257705,0.00002895597,0.000007103114,0.00001679782,0.000004491477,0.00005247012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9073043,"threshold_uncertainty_score":0.7128882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004790963986692431,"score_gpt":0.2077801237648048,"score_spread":0.2029891597781123,"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."}}