{"id":"W2954832169","doi":"10.25011/cim.v42i2.32814","title":"Effect of adrenalectomy on pulmonary edema resolution","year":2019,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Université de Montréal","keywords":"Pulmonary edema; Adrenalectomy; Edema; Medicine; Bilateral adrenalectomy; Resolution (logic); Internal medicine; Lung; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000504548,0.00009525981,0.000223629,0.00002562246,0.00002234779,8.907349e-7,0.00004777595,0.0001142612,0.00003451714],"category_scores_gemma":[0.0002293127,0.0000612628,0.00005079605,0.0000587385,0.00157728,0.000002838442,0.00001472875,0.00008676846,0.000007231934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001784263,"about_ca_system_score_gemma":0.00001457804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005177319,"about_ca_topic_score_gemma":0.000001074753,"domain_scores_codex":[0.99919,0.0001305438,0.000270385,0.000222968,0.0001017645,0.00008436055],"domain_scores_gemma":[0.9995947,0.00005406585,0.00009058504,0.0001307011,0.00004490721,0.00008504789],"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":[0.001275454,0.00008764872,0.4441315,0.0002573246,0.00008326848,0.000003925295,0.00006782843,0.0000299191,0.5341934,0.002021022,0.002443598,0.01540514],"study_design_scores_gemma":[0.003569188,0.01975035,0.5662512,0.0005326326,0.00008171192,0.000008118168,0.00003969732,0.0005862713,0.3949191,0.003085873,0.01094744,0.0002284626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964278,0.0003700082,0.00004571781,0.001061353,0.0002372277,0.0001758206,0.000002301799,0.000004832706,0.001674954],"genre_scores_gemma":[0.9983572,0.000109429,0.00002124164,0.0003013304,0.0003820794,0.000004700011,0.0001222333,0.000006529403,0.0006952565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392743,"threshold_uncertainty_score":0.5811555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157718584568757,"score_gpt":0.3113062031413981,"score_spread":0.2697290172957105,"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."}}