{"id":"W2742374011","doi":"10.1038/s41598-017-08286-2","title":"Evolution of Hemoglobin Genes in Codfishes Influenced by Ocean Depth","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Universitetet i Oslo; National Science Council; Norges Forskningsråd; Norwegian Sequencing Centre; Universität Basel","keywords":"Biology; Adaptation (eye); Evolutionary biology; Lineage (genetic); Repertoire; Gene; Hydrostatic pressure; Range (aeronautics); Hemoglobin; Parallel evolution; Ecology; Genetics; Phylogenetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001568757,0.0001557508,0.0001983124,0.0008679809,0.000234445,0.0003457741,0.0001655656,0.0002381913,0.0005511643],"category_scores_gemma":[0.0003826211,0.0002068674,0.0002015813,0.0005151071,0.0004805718,0.0002348604,0.0005449916,0.0003234938,0.0001323614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956198,"about_ca_system_score_gemma":0.0001677972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160934,"about_ca_topic_score_gemma":0.002775795,"domain_scores_codex":[0.9998879,0.00001189973,0.00000834499,0.00004590988,0.00002021689,0.00002567782],"domain_scores_gemma":[0.9996631,0.00007051089,0.000113497,0.00002728192,0.00004651618,0.00007920581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004789434,0.00002788538,0.4474196,0.00004008958,0.00006475461,0.0002132829,0.0007692394,0.0003057263,0.5426005,0.0001534493,0.00004142094,0.007885068],"study_design_scores_gemma":[0.000003973651,0.0000389297,0.9976189,0.000003441966,0.00001318711,0.0001345453,0.0001685818,0.0002139031,0.001602831,0.00004803583,0.0001489251,0.000004770055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997646,0.00005024998,0.00004545734,0.000005378528,5.447508e-7,7.296923e-7,0.00004236306,0.000001051868,0.00008948737],"genre_scores_gemma":[0.9993321,0.0000672148,0.0001821958,0.00001406896,0.000001741945,0.000003575753,0.0001613735,0.000002918934,0.0002346573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00160934,"threshold_uncertainty_score":0.003199935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338629642845825,"score_gpt":0.2345097690688017,"score_spread":0.2211234726403435,"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."}}