{"id":"W2103588717","doi":"10.1016/j.cbd.2007.09.001","title":"Fundulus as the premier teleost model in environmental biology: Opportunities for new insights using genomics","year":2007,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":293,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; St. Francis Xavier University","funders":"National Institute of Environmental Health Sciences; Natural Sciences and Engineering Research Council of Canada; College of Charleston; National Oceanic and Atmospheric Administration; National Center for Research Resources; Office of Research and Development; National Science Foundation","keywords":"Fundulus; Biology; Genomics; Organism; Toolbox; Exploit; Ecology; Model organism; Evolutionary biology; Fish <Actinopterygii>; Genome; Gene; Genetics; Fishery; Computer science","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":[0.0002521463,0.0004909578,0.0004777291,0.0002710505,0.0004969186,0.0009858415,0.0005610553,0.0005275586,0.0007878359],"category_scores_gemma":[0.0001757357,0.00008998001,0.000232401,0.0001643266,0.001056274,0.001829143,0.0006956251,0.0005967677,0.0001952347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006398771,"about_ca_system_score_gemma":0.0006007634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953217,"about_ca_topic_score_gemma":0.002906308,"domain_scores_codex":[0.9999231,0.00001617811,0.000003322533,0.00002168048,0.00001689947,0.00001878402],"domain_scores_gemma":[0.9999267,0.000008944116,0.00001804444,0.00001018316,0.000007641602,0.00002852754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005759405,0.00003446913,0.008020391,0.0001830382,0.00005660977,0.0007990787,0.0003428607,0.002773176,0.8871739,0.06924891,0.0009232655,0.02986836],"study_design_scores_gemma":[0.0001789218,0.002854821,0.1297502,0.0004999612,0.0005297679,0.01251886,0.005576327,0.03820154,0.4886648,0.1231325,0.1976509,0.0004414362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947818,0.007846341,0.03067447,0.002116241,0.0002591658,0.00002683185,0.0002508924,0.0002175813,0.01079059],"genre_scores_gemma":[0.9820671,0.002752902,0.01063387,0.0001728735,0.00006601534,0.00002682452,0.0001711033,0.00004212939,0.004067232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001953217,"threshold_uncertainty_score":0.004642606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103740043175867,"score_gpt":0.2846676819543191,"score_spread":0.1809276387784521,"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."}}