{"id":"W1994234265","doi":"10.1016/s0305-0491(00)80198-4","title":"Nitrogenous waste elimination under field conditions: ancient Chinese and African (fish) secrets","year":2000,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fish <Actinopterygii>; Field (mathematics); Fishery; Environmental science; Biology; Mathematics","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":[0.00009984449,0.0002851904,0.0003349343,0.000006165606,0.0003572626,0.00004230423,0.0001180689,0.0003023955,0.000254734],"category_scores_gemma":[0.00002872015,0.0001334789,0.0000581764,0.0001273736,0.0003748079,0.00006143464,0.00007971162,0.0001827569,0.000003887523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001065431,"about_ca_system_score_gemma":0.000009565934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000049527,"about_ca_topic_score_gemma":0.00001184134,"domain_scores_codex":[0.9987016,0.0001293136,0.0002346081,0.0005861729,0.00005969647,0.0002886257],"domain_scores_gemma":[0.9993143,0.000226731,0.0001349071,0.00008675541,0.0000645237,0.000172785],"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":[0.0001016243,0.00005600155,0.0003797643,0.00002921726,0.00005414033,0.000002803603,0.00006890744,0.00000149481,0.9971288,0.0001026638,0.0003592752,0.001715299],"study_design_scores_gemma":[0.000346712,0.0004388984,0.01216709,0.00003442731,0.00004598385,0.000162044,0.0009879359,0.00005209266,0.9746516,0.001109467,0.009523433,0.0004802665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943733,0.002718842,0.000003152576,0.00142447,0.00004053399,0.000154046,0.000142199,0.00002895829,0.001114496],"genre_scores_gemma":[0.997523,0.000375363,0.00002053671,0.0008161178,0.0002378383,0.00004157841,0.0007398125,0.000001294831,0.0002445096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02247716,"threshold_uncertainty_score":0.544311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151668883198789,"score_gpt":0.2674862182147266,"score_spread":0.2523193298948477,"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."}}