{"id":"W1892712685","doi":"10.1093/biosci/biv068","title":"Assessing Ecological and Evolutionary Consequences of Growth-Accelerated Genetically Engineered Fishes","year":2015,"lang":"en","type":"article","venue":"BioScience","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Vetenskapsrådet","keywords":"Transgenesis; Adaptation (eye); Biology; Fish <Actinopterygii>; Ecology; Genetically modified organism; Growth hormone; Biotechnology; Fishery; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003291229,0.0002867937,0.000118207,0.000435626,0.0002241664,0.000204505,0.0002735633,0.0003239296,0.0004456029],"category_scores_gemma":[0.0005152873,0.0001148576,0.0002307785,0.000219807,0.0003499073,0.0002137208,0.0003312161,0.0003932313,0.00006876038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006819398,"about_ca_system_score_gemma":0.0003024793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183337,"about_ca_topic_score_gemma":0.006416063,"domain_scores_codex":[0.9997982,0.00004673828,0.00001455888,0.00005095679,0.00006056199,0.00002905175],"domain_scores_gemma":[0.9996793,0.0001017759,0.000117809,0.00002127388,0.00003664031,0.0000431723],"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":[0.0003312345,0.0001293779,0.06140643,0.00005601698,0.00005158302,0.0003052396,0.0001769112,0.002721809,0.9277644,0.0002707569,0.00004484749,0.006741458],"study_design_scores_gemma":[0.00001648274,0.002210314,0.7877755,0.00001336599,0.0001211274,0.0005700126,0.0007464318,0.00597795,0.2011381,0.0003817581,0.001001026,0.00004802934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987948,0.00005172628,0.0006487725,0.00001103589,0.000001934888,0.00001039081,0.00008730005,0.000007222613,0.0003868735],"genre_scores_gemma":[0.9966078,0.0001575913,0.002118633,0.00003346055,0.000001914436,0.00003868137,0.0001789739,0.00001074689,0.0008522669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003183337,"threshold_uncertainty_score":0.006329596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153144689534447,"score_gpt":0.2843373399569686,"score_spread":0.2328058930616241,"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."}}