{"id":"W2169799073","doi":"10.1242/jeb.107664","title":"Muscle fibre size optimisation provides flexibility to energy budgeting in calorie-restricted Coho salmon transgenic for growth hormone","year":2014,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Scottish Funding Council; Marine Alliance for Science and Technology for Scotland","keywords":"Biology; Oncorhynchus; Transgene; Calorie restriction; Growth rate; Endocrinology; Calorie; Internal medicine; Muscle fibre; Fish <Actinopterygii>; Energy expenditure; Animal science; Growth hormone; Hormone; Fishery; Skeletal muscle; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002971175,0.00013385,0.0002113862,0.00006118194,0.00005265321,0.00001105571,0.0001331868,0.0001645453,0.000004603146],"category_scores_gemma":[0.0002924132,0.0001135907,0.000117279,0.00008999609,0.0000556571,0.000006574599,0.0000391113,0.00006783474,4.600555e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004370967,"about_ca_system_score_gemma":0.00004686342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005983107,"about_ca_topic_score_gemma":0.00001256542,"domain_scores_codex":[0.9989016,0.0001051141,0.0004251717,0.0002968112,0.00006780204,0.0002034808],"domain_scores_gemma":[0.9994101,0.00003799769,0.0001880638,0.0001341561,0.0001420763,0.00008762881],"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":[0.0008017102,0.0001362149,0.0005567467,0.000005867914,0.00002173542,3.757488e-7,0.0001348062,0.0001426026,0.9964076,0.00008480662,0.0002409126,0.001466609],"study_design_scores_gemma":[0.001044451,0.004832697,0.005073351,0.000008132958,0.00001061509,0.00001149475,0.0002504353,0.0001129683,0.9808618,0.0001610351,0.007484233,0.0001487658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923841,0.001243618,0.005553484,0.0003226237,0.0002324905,0.0001904382,0.000006783111,0.000004184476,0.00006225935],"genre_scores_gemma":[0.995046,0.0001087526,0.004006026,0.0001752144,0.0005599378,0.00002234304,0.00002748323,0.00001530719,0.00003896195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554579,"threshold_uncertainty_score":0.4632096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377530086696014,"score_gpt":0.2770213335247134,"score_spread":0.2632460326577533,"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."}}