{"id":"W2070449594","doi":"10.1042/cs20040357","title":"Biodistribution, plasma kinetics and quantification of single-pass pulmonary clearance of adrenomedullin","year":2005,"lang":"en","type":"article","venue":"Clinical Science","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Biodistribution; Pharmacokinetics; Adrenomedullin; In vivo; Extraction ratio; Lung; Plasma clearance; Internal medicine; Distribution (mathematics); Clearance rate; Endocrinology; Clearance; Pharmacology; Chemistry; Medicine; Receptor; Biology; Extraction (chemistry); Urology; Chromatography","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":[0.0006125155,0.0003673104,0.0006784966,0.0003621489,0.0001144647,0.0006027105,0.0002495369,0.0004680081,0.0005972355],"category_scores_gemma":[0.0006844985,0.0002366237,0.0002872986,0.000261932,0.0005115804,0.0005063069,0.0001266734,0.0006239566,0.0003633522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005211324,"about_ca_system_score_gemma":0.0004492026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096396,"about_ca_topic_score_gemma":0.0008401553,"domain_scores_codex":[0.9996858,0.00008118873,0.00001225782,0.00008555414,0.0000794016,0.00005589659],"domain_scores_gemma":[0.9994702,0.000117644,0.0002056673,0.00006851761,0.00006588639,0.00007213963],"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":[0.001718857,0.00006295019,0.003404341,0.00009191068,0.00003103356,0.0001036945,0.00007624161,0.0005719218,0.981955,0.0002568526,0.00007963101,0.01164754],"study_design_scores_gemma":[0.00007518957,0.00477808,0.03156469,0.00001266626,0.0001160934,0.0009173112,0.00005989983,0.00783608,0.9526543,0.0001824062,0.001767252,0.00003606754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838145,0.003017651,0.01187137,0.00003747892,0.00001191055,0.00004318798,0.0001711833,0.0001841121,0.000848499],"genre_scores_gemma":[0.985733,0.001621118,0.01041872,0.0000475326,0.0000188401,0.0001038014,0.0003660846,0.00006410103,0.001626778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096396,"threshold_uncertainty_score":0.00378114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065735261937152,"score_gpt":0.3479909291629898,"score_spread":0.2414174029692746,"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."}}