{"id":"W2773767389","doi":"10.1007/s00360-017-1137-y","title":"The physiology of the Tambaqui (Colossoma macropomum) at pH 8.0","year":2017,"lang":"en","type":"article","venue":"Journal of Comparative Physiology B","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"Instituto Nacional de Ciência e Tecnologia Centro de Estudos das Adaptações da Biota Aquática da Amazônia; Ciência sem Fronteiras; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Tambaqui; Excretion; Gill; Ammonia; Animal science; Acid–base homeostasis; Biology; Intracellular pH; Chemistry; Biochemistry; Fish <Actinopterygii>; Fishery; Extracellular","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008006502,0.000264748,0.0001191252,0.0001728957,0.0002444336,0.00034508,0.0002840155,0.0003680984,0.001750811],"category_scores_gemma":[0.0001465623,0.0001451947,0.0001024796,0.0001094759,0.000345908,0.0004219842,0.000293017,0.0005594093,0.0003570295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369984,"about_ca_system_score_gemma":0.0002013502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005907064,"about_ca_topic_score_gemma":0.005994656,"domain_scores_codex":[0.9999667,0.000004324012,0.000001675956,0.000007956337,0.000007400924,0.00001192578],"domain_scores_gemma":[0.9999188,0.0000131172,0.00001443653,0.000003432646,0.00002049323,0.00002973461],"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":[0.0003762385,0.00001455305,0.002737904,0.00003668968,0.000006766532,0.00008061103,0.0001110147,0.00005153652,0.9954107,0.0000796434,0.00008895928,0.001005325],"study_design_scores_gemma":[0.0000820736,0.001916258,0.7044098,0.00003189943,0.00006834081,0.000819039,0.001226445,0.002105199,0.2852994,0.0003805218,0.003625608,0.00003559019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976726,0.0003037442,0.0001893022,0.00009676802,0.00001273591,0.000006920313,0.0001376932,0.00001250885,0.001567786],"genre_scores_gemma":[0.9984741,0.0001031026,0.0001659895,0.00006621245,0.000004107449,0.000006937149,0.0001533291,0.000007529558,0.001018586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005907064,"threshold_uncertainty_score":0.01174533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073684526629021,"score_gpt":0.2997727272459492,"score_spread":0.259035881979659,"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."}}