{"id":"W2368134136","doi":"10.1016/j.ygcen.2016.05.016","title":"Neuroendocrine control of ionic balance in zebrafish","year":2016,"lang":"en","type":"article","venue":"General and Comparative Endocrinology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Norris Cotton Cancer Center","keywords":"Zebrafish; Danio; Biology; Homeostasis; Vasotocin; Cell biology; Ion transporter; Osmoregulation; Hormone; Reabsorption; Paracellular transport; Endocrinology; Biophysics; Biochemistry; Kidney; Membrane; Neuropeptide; Ecology; Gene; Salinity","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":[0.00001237533,0.0000808383,0.0001907592,0.00001440969,0.00002279696,0.000001610691,0.00009547096,0.0000118332,0.0004195899],"category_scores_gemma":[0.00001184349,0.00004496739,0.00002434562,0.00008043674,0.0003311306,0.00004687831,0.00008888147,0.00004981964,0.00005106514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001318,"about_ca_system_score_gemma":0.000002487191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006048542,"about_ca_topic_score_gemma":0.00004440316,"domain_scores_codex":[0.9993162,0.00006011549,0.0001519607,0.0002028922,0.00005202926,0.0002168658],"domain_scores_gemma":[0.9997602,0.000080937,0.00004097796,0.00007172216,0.000004880023,0.00004127613],"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":[0.00004984062,0.00006905689,0.0359842,0.000001057556,0.000004690343,0.00000700168,0.00001298264,0.00006960607,0.9552599,0.005875968,0.0004241263,0.002241561],"study_design_scores_gemma":[0.001529674,0.000274908,0.8654926,0.000006209072,0.000004273054,0.00002477707,0.00001176414,0.0006006823,0.1166036,0.009899001,0.005417937,0.0001346206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996078,0.00007553538,0.0002148066,0.001503732,0.00002981645,0.0000764992,0.00001148918,0.00001007866,0.002000012],"genre_scores_gemma":[0.9991149,0.00004933615,0.0001293597,0.0002817083,0.00001805946,0.00001918264,0.000001365434,0.000001275939,0.0003847625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8386563,"threshold_uncertainty_score":0.4594215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655052118283871,"score_gpt":0.2464788665726213,"score_spread":0.2199283453897826,"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."}}