{"id":"W1497777229","doi":"10.1096/fasebj.28.1_supplement.1129.3","title":"Prolactin influences the excitability of subfornical organ neurons (1129.3)","year":2014,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Prolactin; Depolarization; Subfornical organ; Internal medicine; Endocrinology; Hyperpolarization (physics); Neuroscience; Chemistry; Membrane potential; Prolactin receptor; Posterior pituitary; Medicine; Biology; Hormone; Receptor; Pituitary gland; Angiotensin II","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007272225,0.0001496205,0.0001733678,0.0001097285,0.0001559261,0.0002823451,0.0001426599,0.0002149898,0.002285937],"category_scores_gemma":[0.0001564613,0.00009225559,0.0002393824,0.0001171184,0.0001293471,0.0001481745,0.0001848616,0.0004216762,0.0004402445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549696,"about_ca_system_score_gemma":0.0001624401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003926496,"about_ca_topic_score_gemma":0.004869846,"domain_scores_codex":[0.9999155,0.000006958278,0.000006980064,0.00001443267,0.00001935518,0.00003679111],"domain_scores_gemma":[0.9999197,0.00001580618,0.00001481487,0.000006607145,0.00001392421,0.00002915965],"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":[0.0002898138,0.000006528141,0.0004374808,0.00001133786,0.000001953855,0.00006554344,0.00001644938,0.00001017867,0.9981496,0.00002055292,0.00003580592,0.0009547134],"study_design_scores_gemma":[0.00008305227,0.0007490775,0.1443949,0.00001874946,0.00004545987,0.001039039,0.0002636115,0.001842318,0.8482097,0.0001845889,0.003153448,0.00001610539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975781,0.0003441601,0.0004399694,0.00007154098,0.00001864271,0.00000501566,0.0003004677,0.00001743462,0.001224822],"genre_scores_gemma":[0.9970175,0.0003629724,0.0005094367,0.00005504283,0.000007108457,0.00001082825,0.0002690692,0.00001571693,0.001752345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003926496,"threshold_uncertainty_score":0.007807255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294637995658982,"score_gpt":0.2839828550765842,"score_spread":0.2610364751199943,"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."}}