{"id":"W2026675513","doi":"10.1111/eva.12248","title":"A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification","year":2015,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Ocean Acidification Program; National Centers for Coastal Ocean Science; Division of Ocean Sciences; Chicago Community Trust; National Science Foundation","keywords":"Biology; Heritability; Offspring; Population; Ecology; Genetic diversity; Zoology; Genetic variation; Evolutionary biology; Genetics; Demography; Gene","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":[0.0004171242,0.0001667838,0.000175976,0.0002044809,0.0003582061,0.00003760491,0.0005175665,0.00006758987,0.0001247391],"category_scores_gemma":[0.0001568792,0.0001321463,0.00007869652,0.001063434,0.0001967092,0.0001647593,0.00007018519,0.0001262976,0.0003727447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571808,"about_ca_system_score_gemma":0.0002666908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003878717,"about_ca_topic_score_gemma":0.00006952596,"domain_scores_codex":[0.9981596,0.0002512116,0.0003918585,0.0004218185,0.0005094472,0.0002660205],"domain_scores_gemma":[0.9983738,0.0002330931,0.0001497627,0.000530571,0.0003907871,0.0003219511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001705091,0.001532184,0.147452,0.0001087855,0.0002326239,0.000004962463,0.002400313,0.6084252,0.003278372,0.0365324,0.1586485,0.03967955],"study_design_scores_gemma":[0.0001982437,0.0002261464,0.9374325,0.0000061367,0.00003100428,0.00004049084,0.001031531,0.03522165,0.00005220594,0.001366566,0.02420056,0.0001930064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6025349,0.0005683063,0.3663821,0.008545051,0.0003441341,0.004508643,0.002089448,0.0002160886,0.01481124],"genre_scores_gemma":[0.9462633,0.00001771312,0.05179785,0.0003371046,0.0001634738,0.00009119394,0.0008091176,0.000008803467,0.0005115167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7899804,"threshold_uncertainty_score":0.5388771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948275376845901,"score_gpt":0.2609160270456344,"score_spread":0.2214332732771754,"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."}}