{"id":"W3011527316","doi":"10.3389/fnana.2020.00010","title":"Using Teleost Fish to Discern Developmental Signatures of Evolutionary Adaptation From Phenotypic Plasticity in Brain Structure","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neuroanatomy","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotypic plasticity; Adaptation (eye); Fish <Actinopterygii>; Biology; Evolutionary biology; Developmental plasticity; Plasticity; Phenotype; Neuroscience; Ecology; Fishery; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005120375,0.000384725,0.0003868372,0.002065113,0.0004741959,0.0006071546,0.0005044205,0.0009612106,0.003069924],"category_scores_gemma":[0.0009574462,0.0003372319,0.0004851082,0.001059019,0.001200419,0.001023783,0.001040469,0.001084085,0.0007634964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00075779,"about_ca_system_score_gemma":0.000418713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004545976,"about_ca_topic_score_gemma":0.01112169,"domain_scores_codex":[0.9997059,0.00002323564,0.00001978012,0.0001558809,0.00006081903,0.00003443673],"domain_scores_gemma":[0.9996327,0.00005930839,0.000157122,0.00003952788,0.00006261963,0.00004866071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004315464,0.00005167593,0.1209995,0.00105723,0.0002682109,0.0006444429,0.00172628,0.000795096,0.7982352,0.001715743,0.001020772,0.07305431],"study_design_scores_gemma":[0.00001759777,0.0004813348,0.9477134,0.000171202,0.0001985894,0.001791383,0.001111463,0.0009413178,0.03661017,0.001783036,0.00908165,0.00009906068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249506,0.007373848,0.04053237,0.0006396605,0.0002277259,0.0002621229,0.005023435,0.000476855,0.02051352],"genre_scores_gemma":[0.9001901,0.006540246,0.08017159,0.0009850085,0.00009453831,0.0009094562,0.002694311,0.0002832272,0.008131514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004545976,"threshold_uncertainty_score":0.01026994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345118336929079,"score_gpt":0.2216089675232716,"score_spread":0.2081577841539808,"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."}}