{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009261947,0.0001721988,0.0001208654,0.0001743055,0.0001333948,0.0001724487,0.0001616837,0.000202177,0.00115758],"category_scores_gemma":[0.000120735,0.0001799613,0.0001658834,0.00006436482,0.0002612949,0.0001760666,0.0002702515,0.0002884249,0.0001478699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484628,"about_ca_system_score_gemma":0.0001892182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002724189,"about_ca_topic_score_gemma":0.007173732,"domain_scores_codex":[0.9999356,0.000005880192,0.000005760616,0.00002104069,0.00001235893,0.00001932383],"domain_scores_gemma":[0.9998776,0.00001270494,0.00003874803,0.00001380326,0.00001592266,0.00004122115],"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":[0.0001036806,0.000006690771,0.001373261,0.000008456556,0.000003246991,0.00001664059,0.00001405686,0.00002001427,0.9980423,0.00001571042,0.00001344761,0.0003825022],"study_design_scores_gemma":[0.00006806414,0.0008538821,0.5624583,0.00001725304,0.00006526223,0.0004583177,0.0003976627,0.00159873,0.4320724,0.0001579202,0.001825118,0.00002711119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994311,0.00006736862,0.0002234974,0.00002530502,0.000004511458,0.000002984059,0.00006947115,0.000008469841,0.00016732],"genre_scores_gemma":[0.9970887,0.0001278879,0.000505422,0.00004690709,0.000004377961,0.00002123803,0.0002599153,0.00002235593,0.001923135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002724189,"threshold_uncertainty_score":0.005416632,"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."}}