{"id":"W2987423137","doi":"10.7554/elife.12081.037","title":"Author response: The genetic basis for ecological adaptation of the Atlantic herring revealed by genome sequencing","year":2016,"lang":"en","type":"peer-review","venue":"","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herring; Biology; Adaptation (eye); Population; Genetic diversity; Natural selection; Geography; Evolutionary biology; Ecology; Selection (genetic algorithm); Fishery; Fish <Actinopterygii>; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002075571,0.0008134902,0.0009221103,0.0007832099,0.001435532,0.001883685,0.001070675,0.004775025,0.2318431],"category_scores_gemma":[0.01384004,0.000496253,0.0006013128,0.0006984913,0.0007031799,0.001303504,0.00242392,0.003754245,0.09161382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258743,"about_ca_system_score_gemma":0.002325501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003243111,"about_ca_topic_score_gemma":0.007613006,"domain_scores_codex":[0.9985928,0.0002590542,0.0001140748,0.0002535574,0.0005241416,0.000256366],"domain_scores_gemma":[0.9956678,0.001145832,0.0002438834,0.0003055102,0.00186467,0.0007722523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000119694,0.000006316318,0.0002817993,0.00008518268,0.000006408337,0.00009763505,0.00003591272,0.00004558361,0.00030255,0.0002287412,0.9936288,0.005161341],"study_design_scores_gemma":[0.0002020105,0.00006766292,0.002759688,0.0003870879,0.00002572401,0.0002841078,0.0008845393,0.0002643248,0.001303171,0.002318616,0.9914339,0.00006919837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008547416,0.003714898,0.006216729,0.5280797,0.3066887,0.0004519839,0.04076831,0.005047128,0.1004852],"genre_scores_gemma":[0.03679316,0.00578462,0.00832142,0.2505654,0.05195167,0.0008068875,0.02917826,0.002980575,0.613618],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2318431,"threshold_uncertainty_score":0.7755926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962008702022769,"score_gpt":0.325859626210517,"score_spread":0.2562395391902893,"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."}}