{"id":"W2920094334","doi":"10.1016/j.gene.2019.02.079","title":"Pck-ing up steam: Widening the salmonid gluconeogenic gene duplication trail","year":2019,"lang":"en","type":"article","venue":"Gene","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"FP7 People: Marie-Curie Actions; Natural Sciences and Engineering Research Council of Canada; AgreenSkills; Université de Pau et des Pays de l'Adour; Mitacs; Canada Foundation for Innovation; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche","keywords":"Biology; Gene duplication; Rainbow trout; Genetics; Gluconeogenesis; Gene; Genome; Phosphoenolpyruvate carboxykinase; Trout; Evolutionary biology; Fishery; Biochemistry; Enzyme","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":[0.0002523806,0.0003022279,0.0003267836,0.0003268786,0.000383466,0.0005159958,0.0005124586,0.0005191448,0.005108501],"category_scores_gemma":[0.0002948851,0.0003355006,0.0004623677,0.0002913734,0.0007302312,0.0003639442,0.0009220892,0.001770558,0.001410845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327792,"about_ca_system_score_gemma":0.0008599066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289839,"about_ca_topic_score_gemma":0.003910575,"domain_scores_codex":[0.9998201,0.00001476871,0.00001654714,0.00005618781,0.00005918451,0.00003321768],"domain_scores_gemma":[0.999843,0.00003276931,0.00002842899,0.00002348193,0.00001859129,0.00005369092],"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":[0.000185408,0.00004314972,0.0004074826,0.00006567354,0.000007897622,0.0001448005,0.00004106587,0.0003287456,0.9839138,0.0009863991,0.0004428297,0.01343269],"study_design_scores_gemma":[0.0001485365,0.0003923262,0.004491421,0.00003711535,0.00006289448,0.00064401,0.0001053417,0.006799737,0.9578712,0.0007162737,0.02869635,0.00003479696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243763,0.001141568,0.05899468,0.001189949,0.0005604654,0.0003227958,0.001273895,0.002297317,0.009843129],"genre_scores_gemma":[0.9399567,0.0007006126,0.03480579,0.0008020075,0.00006606203,0.0001273277,0.001324711,0.0007461024,0.0214706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005108501,"threshold_uncertainty_score":0.01708966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799647879236038,"score_gpt":0.2134473005299258,"score_spread":0.1954508217375654,"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."}}