{"id":"W3192225336","doi":"10.20944/preprints202108.0088.v1","title":"Nutrition and Metabolism of Minerals in Fish","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Selenium; Micronutrient; Chemistry; Excretion; Environmental chemistry; 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":[0.000162473,0.0003709836,0.0003385218,0.000611284,0.0002737801,0.0005265604,0.0001625007,0.000441356,0.00225038],"category_scores_gemma":[0.0001695732,0.0001616592,0.0002631334,0.0004687944,0.0002350959,0.000350096,0.0004394827,0.0003624764,0.001617414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005780559,"about_ca_system_score_gemma":0.0004565659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329356,"about_ca_topic_score_gemma":0.002108282,"domain_scores_codex":[0.9999058,0.000009832996,0.000007456432,0.00003424837,0.00003263203,0.000009869863],"domain_scores_gemma":[0.9999586,0.000005730868,0.00001034431,0.000003821876,0.00001286141,0.000008543864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000813231,0.00007120687,0.004846618,0.002646697,0.00008851745,0.0009951161,0.0003045161,0.001375728,0.7296026,0.004350909,0.005340396,0.2495645],"study_design_scores_gemma":[0.00007000974,0.001310384,0.1390532,0.0007593071,0.0002468212,0.006033871,0.0004000688,0.002229825,0.3048194,0.01707084,0.5278862,0.0001201318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3065152,0.5967578,0.0252912,0.002562302,0.000847335,0.000104569,0.007301838,0.0008610329,0.05975864],"genre_scores_gemma":[0.6350925,0.2228192,0.02334281,0.0005531289,0.0004531696,0.0001416223,0.004903445,0.00032215,0.1123719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00329356,"threshold_uncertainty_score":0.007528245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09143949202782577,"score_gpt":0.3007598127908982,"score_spread":0.2093203207630724,"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."}}