{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001733471,0.0001068144,0.0001105018,0.000005814014,0.0002105824,0.00005644512,0.0002458949,0.00007720792,0.0006345992],"category_scores_gemma":[0.00001350714,0.00003443169,0.00009307855,0.000213334,0.00002764975,0.00008693914,0.0000409564,0.0001023297,0.000567214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001903599,"about_ca_system_score_gemma":0.00000467879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006649933,"about_ca_topic_score_gemma":0.00005962052,"domain_scores_codex":[0.9991632,0.00005134623,0.0001584373,0.0002442346,0.0001719805,0.000210875],"domain_scores_gemma":[0.9996672,0.00006955081,0.00007419223,0.00008222039,0.00004799421,0.00005881938],"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":[0.00001126293,0.00001541951,0.001797517,0.000002101811,0.000008420241,6.383482e-7,0.00009615784,0.000004666996,0.9773212,0.0001087824,0.0009181276,0.0197157],"study_design_scores_gemma":[0.0004594259,0.0001839725,0.1744496,0.00001981015,0.00002944039,0.00006617344,0.0008558534,0.0001552475,0.6886786,0.000707689,0.1340274,0.000366832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943013,0.0007238693,0.00001829537,0.003409604,0.000137356,0.0002364265,0.00001775101,0.00006679197,0.001088634],"genre_scores_gemma":[0.9960629,0.0001072508,0.0001112217,0.0008672088,0.0003874261,0.00001832824,0.00009600257,0.000001195981,0.002348433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2886426,"threshold_uncertainty_score":0.7290578,"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."}}