{"id":"W2163403852","doi":"10.1017/s0021859609990037","title":"Adaptation of a non-ruminant nutrient-based growth model to rainbow trout (<i>Oncorhynchus mykiss</i> Walbaum)","year":2009,"lang":"en","type":"article","venue":"The Journal of Agricultural Science","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Rainbow trout; Nutrient; Bioenergetics; Aquaculture; Growth rate; Animal science; Biology; Environmental science; Fishery; Ecology; Fish <Actinopterygii>; Mathematics; 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":[0.001074246,0.0001919847,0.0002957039,0.00004814349,0.0004122637,0.00007579671,0.0009974716,0.00006258968,0.00001669339],"category_scores_gemma":[0.0001808581,0.00005001793,0.000190119,0.001773519,0.000220291,0.0005064165,0.00004207443,0.0002052597,0.000008079977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008592045,"about_ca_system_score_gemma":0.00005907475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006762244,"about_ca_topic_score_gemma":0.00005340337,"domain_scores_codex":[0.9978269,0.00007870407,0.0005409291,0.0001956561,0.000975795,0.0003820006],"domain_scores_gemma":[0.998022,0.0001403921,0.0005190824,0.00006862468,0.0009587195,0.000291191],"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":[0.0001374639,0.0001691332,0.00009187301,0.000003310052,0.00000350596,0.000001585044,0.0006651851,0.001961154,0.9901215,0.0002988603,0.001570974,0.004975496],"study_design_scores_gemma":[0.001052264,0.003728092,0.4724174,0.0002578732,0.00008197527,0.0001472699,0.00460557,0.004356461,0.5106569,0.00160628,0.0006344023,0.0004555223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843197,0.00009060092,0.0008676454,0.01404889,0.00005094617,0.0002683562,0.00001312564,0.00001472306,0.000325963],"genre_scores_gemma":[0.9971134,0.00004540605,0.001634612,0.0009054203,0.0001957742,0.000001951931,0.000003836321,6.224877e-7,0.00009897516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4794646,"threshold_uncertainty_score":0.3170841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767419931501345,"score_gpt":0.2324858996603693,"score_spread":0.2148117003453558,"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."}}