{"id":"W6982373777","doi":"","title":"Improving treatment outcomes through personalised medicine - assessment of disease activity in acromegaly.","year":2022,"lang":"en","type":"dissertation","venue":"CERES (Cranfield University)","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Concordance; Acromegaly; Precision medicine; MEDLINE; Health care; Disease management; Alternative medicine; Best practice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004429212,0.000325955,0.0007803079,0.0004029152,0.0001236394,0.000004993317,0.0001382231,0.0001426969,0.001633332],"category_scores_gemma":[0.00002725211,0.000274074,0.000292678,0.0003184609,0.00004863718,0.0001316958,0.00003690611,0.0002581035,0.000001036428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988929,"about_ca_system_score_gemma":0.0004776509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059151,"about_ca_topic_score_gemma":0.002707659,"domain_scores_codex":[0.9987081,0.00007351468,0.0002094885,0.0004358731,0.0003331864,0.0002398754],"domain_scores_gemma":[0.9991183,0.0001219522,0.0002175318,0.0003552951,0.00004659359,0.0001403692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01092517,0.005831734,0.9487747,0.002086343,0.002291407,0.00368757,0.0067219,0.00004175806,0.0008751737,0.003394089,0.0005015144,0.01486867],"study_design_scores_gemma":[0.01642883,0.002127127,0.961452,0.0003034705,0.001976558,0.000002125231,0.01133309,0.0001245871,0.0001054753,0.0001546658,0.005577361,0.0004146974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335412,0.0003862176,0.00001635296,0.000597058,0.000302902,0.0006878235,0.0001253197,0.00003225762,0.06431089],"genre_scores_gemma":[0.9656929,0.0006508724,0.00006215578,0.00005668301,0.00002729877,0.000009185579,0.001165678,0.0000225432,0.03231266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03215175,"threshold_uncertainty_score":0.9999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178913430754796,"score_gpt":0.308451221326513,"score_spread":0.2866620870189651,"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."}}