{"id":"W4377943573","doi":"10.1007/s10499-023-01140-5","title":"Influence of induced low-, moderate-, and severe-intensity starvation on compensatory growth, body composition, and economic efficiency of Pacific white shrimp Litopenaeus vannamei","year":2023,"lang":"en","type":"article","venue":"Aquaculture International","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Litopenaeus; Compensatory growth (organ); Animal science; Starvation; Shrimp; Feed conversion ratio; Biology; Protein efficiency ratio; Composition (language); Body weight; Endocrinology; Fishery","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":[0.0001561671,0.0001527979,0.0002280066,0.00004696375,0.0001118408,0.00004351013,0.0001649668,0.000114689,0.00004116755],"category_scores_gemma":[0.00003841622,0.00007569745,0.00005333368,0.0001709557,0.0001170102,0.0002423394,0.00007089306,0.0001317003,0.00001957695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003235228,"about_ca_system_score_gemma":0.000009157686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001374927,"about_ca_topic_score_gemma":0.00006134794,"domain_scores_codex":[0.9989538,0.00004684299,0.0003327972,0.0002946932,0.0002360136,0.0001359223],"domain_scores_gemma":[0.9992442,0.00009510076,0.000198542,0.00004599412,0.0003440662,0.00007206258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006189843,0.0002991972,0.06031635,0.00005594353,0.00009187207,0.00000741168,0.001239596,0.0005814539,0.9218979,0.01091905,0.003376557,0.000595721],"study_design_scores_gemma":[0.0007891674,0.00040414,0.9138145,0.0001690339,0.00001498902,0.00002845,0.000830033,0.002163008,0.07865657,0.002278391,0.0005369256,0.0003147225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966174,0.00001488187,0.000003739805,0.002030768,0.00007245596,0.0001804254,0.0002361919,0.00004363155,0.0008005275],"genre_scores_gemma":[0.9991361,0.00006966507,0.00003119649,0.0002532412,0.00007640762,0.000006898834,0.0003333565,0.000001560971,0.00009149637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8534982,"threshold_uncertainty_score":0.3086852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119086380912739,"score_gpt":0.2255692260054938,"score_spread":0.2136605879142199,"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."}}