{"id":"W2953294326","doi":"10.1111/brv.12534","title":"A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems","year":2019,"lang":"en","type":"review","venue":"Biological reviews/Biological reviews of the Cambridge Philosophical Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of St Andrews; Marine Alliance for Science and Technology for Scotland","keywords":"Evolutionary developmental biology; Biology; Diversification (marketing strategy); Evolutionary biology; Natural selection; Resource (disambiguation); Ecology; Evolutionary dynamics; Selection (genetic algorithm); Computer science; Artificial intelligence; Sociology; Population","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005486102,0.001646252,0.00853252,0.00004440225,0.0004398876,0.00003558782,0.003147161,0.001520947,0.0003653273],"category_scores_gemma":[0.001921792,0.0006473307,0.003428,0.0008998109,0.003893115,0.0001810238,0.00236007,0.001541093,0.0002948972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367137,"about_ca_system_score_gemma":0.00009032906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002156861,"about_ca_topic_score_gemma":0.000006171863,"domain_scores_codex":[0.9885355,0.00452172,0.003068399,0.002056962,0.0007008601,0.001116596],"domain_scores_gemma":[0.9927757,0.001247464,0.003477448,0.002054261,0.00007236596,0.0003727632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002162327,0.005266938,0.004380136,0.06146814,0.003929825,0.00005321735,0.0002712276,0.0001967878,0.00009753288,0.08856094,0.06246762,0.7711453],"study_design_scores_gemma":[0.0005242547,0.002602449,0.0007179084,0.008930259,0.001914066,0.00005474677,0.00002781528,0.00007148291,0.000001663452,0.00264308,0.9812996,0.001212611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007454673,0.9831731,0.0002466753,0.0007452116,0.0001695796,0.00895544,0.000187427,0.00008297082,0.00569415],"genre_scores_gemma":[0.002704204,0.9921585,0.00098185,0.002110642,0.0002476628,0.001127873,0.0001303502,0.00006576053,0.0004731051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9188321,"threshold_uncertainty_score":0.9997753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073369354049019,"score_gpt":0.2991769748296984,"score_spread":0.1918400394247965,"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."}}