{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399305,0.0002271366,0.0002918133,0.00003642117,0.0002318081,0.00003028495,0.0007181491,0.0003215777,0.0002416133],"category_scores_gemma":[0.001555454,0.0001193348,0.0003214624,0.0001290915,0.0001585943,0.000002330456,0.0001239043,0.0001279494,0.00002141925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006709206,"about_ca_system_score_gemma":0.0003520999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003257921,"about_ca_topic_score_gemma":0.00008809056,"domain_scores_codex":[0.9978363,0.0005092726,0.0006723391,0.0004940386,0.0002612743,0.0002268045],"domain_scores_gemma":[0.9976859,0.0002154651,0.0006082957,0.0009828344,0.0004620402,0.00004546357],"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":[0.00007665705,0.00002944232,0.00004145442,0.0005596288,0.0001022432,1.17305e-7,0.00003312124,0.00001920033,0.2838626,0.0001060666,0.714295,0.0008744527],"study_design_scores_gemma":[0.0001748972,0.00008537435,0.001966225,0.0003217179,0.0001512339,0.000009345886,0.0000559817,0.00005206476,0.01111587,0.00002065482,0.9858419,0.000204698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2402393,0.08099316,0.1157343,0.5308077,0.008846724,0.01591127,0.004913765,0.0001520635,0.002401775],"genre_scores_gemma":[0.2380347,0.002689807,0.001249001,0.002757359,0.0004239427,0.000825828,0.001032872,0.00007322345,0.7529133],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7505115,"threshold_uncertainty_score":0.4866333,"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."}}