{"id":"W3091916167","doi":"10.1111/ejh.13531","title":"Prolactin, a potential biomarker for chronic GVHD activity","year":2020,"lang":"en","type":"article","venue":"European Journal Of Haematology","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Prolactin; Medicine; Biomarker; Internal medicine; Cohort; Hormone; Gastroenterology; Odds ratio; Endocrinology; Biology","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":[0.0007166502,0.0003430003,0.0003160965,0.000973082,0.0002178645,0.000756067,0.0001952647,0.0002713926,0.001352554],"category_scores_gemma":[0.001520783,0.000118881,0.0002918978,0.0008254156,0.0002577967,0.0002867485,0.0002999244,0.0004747558,0.0002531426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442974,"about_ca_system_score_gemma":0.0002771893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008786,"about_ca_topic_score_gemma":0.000839882,"domain_scores_codex":[0.9996476,0.0001188702,0.00004544647,0.0000519866,0.00008505122,0.00005102229],"domain_scores_gemma":[0.9987638,0.0002242878,0.0007033915,0.00003259793,0.0001197498,0.0001561238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002985032,0.000022866,0.9872777,0.00006076584,0.00005661386,0.0001848113,0.00002596214,0.00007142439,0.001500205,0.00002273154,0.0001959993,0.01028244],"study_design_scores_gemma":[0.00001590534,0.0004742426,0.9918361,0.00008605592,0.0001272731,0.003384911,0.0002056381,0.000581879,0.001579349,0.0000984261,0.001597603,0.00001248109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782832,0.01779944,0.0007040699,0.0003428999,0.00006019823,0.00002442307,0.0008286802,0.00004464185,0.001912434],"genre_scores_gemma":[0.9978446,0.001268346,0.0003647837,0.00005281217,0.00003649314,0.000007136507,0.0002328854,0.000002237568,0.0001908424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001352554,"threshold_uncertainty_score":0.004524708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621521186632647,"score_gpt":0.2819842436058146,"score_spread":0.2457690317394881,"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."}}