{"id":"W2772842863","doi":"10.1093/molbev/msx311","title":"De Novo Gene Evolution of Antifreeze Glycoproteins in Codfishes Revealed by Whole Genome Sequence Data","year":2017,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; National Science Council; Norwegian Sequencing Centre; McGill University","keywords":"Biology; Gene; Genome; Lineage (genetic); Genetics; Comparative genomics; Gene duplication; Evolutionary biology; Molecular evolution; Computational biology; Genomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876067,0.00007841869,0.0001160205,0.00001384839,0.0001414331,0.000008720473,0.0003757399,0.0001268874,0.00002717424],"category_scores_gemma":[0.0001502043,0.00006579659,0.00001786554,0.00005906859,0.0005679736,0.0001188068,0.0003823075,0.0000838705,0.00001184218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009149927,"about_ca_system_score_gemma":0.00001244908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439437,"about_ca_topic_score_gemma":0.0001010276,"domain_scores_codex":[0.999251,0.0000639042,0.0001397315,0.0003080604,0.00005328664,0.0001839978],"domain_scores_gemma":[0.9994471,0.00001140347,0.00009388704,0.0003949509,0.000006934478,0.00004574062],"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":[0.00001853017,0.00004539138,0.0871342,0.000003660758,0.00000388388,0.000002366091,0.000005925208,0.00002855968,0.9120964,0.0002618563,0.00004899492,0.0003501601],"study_design_scores_gemma":[0.0003283088,0.0001180892,0.9361776,0.00001231914,0.00001095711,0.000009969287,0.000007674695,0.002293428,0.04105072,0.01917824,0.0006644059,0.0001483208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822152,0.00038583,0.01648587,0.0003374727,0.00002121814,0.0001146569,0.0002456358,0.000008554927,0.000185528],"genre_scores_gemma":[0.9977941,0.00003674446,0.001785722,0.00004694523,0.00001027548,0.000008139042,0.0002647333,0.000002646553,0.00005070711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8710458,"threshold_uncertainty_score":0.2683107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276122103795472,"score_gpt":0.2681539796985036,"score_spread":0.2453927586605489,"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."}}