{"id":"W2986586441","doi":"10.1111/are.14391","title":"Growth trajectory analysis of Pacific whiteleg shrimp ( <i>Litopenaeus vannamei</i> ): Comparison of the specific growth rate, the thermal‐unit growth coefficient and its adaptations","year":2019,"lang":"en","type":"article","venue":"Aquaculture Research","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Litopenaeus; Biology; Shrimp; Growth rate; Gompertz function; Growth curve (statistics); Statistics; Mathematics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001477488,0.0002796157,0.0005979808,0.0001168601,0.000624013,0.0001232146,0.001028848,0.0002201172,0.0004307936],"category_scores_gemma":[0.0002094017,0.0000871169,0.0003787575,0.004892977,0.0004968718,0.0001888912,0.0002333558,0.0007467415,0.00004191009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000358539,"about_ca_system_score_gemma":0.00003385364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165921,"about_ca_topic_score_gemma":0.0006301141,"domain_scores_codex":[0.9959263,0.001237036,0.0006006765,0.0005438086,0.001146803,0.0005453991],"domain_scores_gemma":[0.9968948,0.0009839896,0.0002789772,0.0002383868,0.001444681,0.0001591216],"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":[0.0002097353,0.0008872522,0.1258154,0.0001032144,0.0005253204,0.000001824219,0.00505105,0.00008701861,0.8312406,0.02590537,0.009272894,0.0009003066],"study_design_scores_gemma":[0.0006307221,0.0005762164,0.8985635,0.00009496247,0.0002469717,0.000004291804,0.01883796,0.0008578172,0.06334138,0.0004196433,0.01602953,0.0003969823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820956,0.002135529,0.000003269845,0.005193065,0.00006536531,0.001016777,0.0002304873,0.00003002114,0.009229872],"genre_scores_gemma":[0.9981527,0.000465312,0.00001621046,0.0001118529,0.00008611946,0.00003631199,0.0001202453,0.000004366885,0.001006894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7727481,"threshold_uncertainty_score":0.4799466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349703802541634,"score_gpt":0.3070415065589253,"score_spread":0.2435444685335089,"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."}}