{"id":"W2995348153","doi":"10.1111/hae.13905","title":"Measuring the impact of changing from standard half‐life (SHL) to extended half‐life (EHL) FVIII prophylaxis on health‐related quality of life (HRQoL) in boys with moderate/severe haemophilia A: Lessons learned with the CHO‐KLAT tool","year":2019,"lang":"en","type":"article","venue":"Haemophilia","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Institute for Clinical Evaluative Sciences; Dalhousie University; University of Toronto; SickKids Foundation; Hospital for Sick Children; Laurentian University","funders":"","keywords":"Medicine; Haemophilia; Bleed; Clotting factor; Haemophilia A; Quality of life (healthcare); Cohort; Pediatrics; Retrospective cohort study; Surgery; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002865468,0.0008065103,0.002222287,0.00062812,0.0004316219,0.00008515189,0.0006517637,0.0003345736,0.0003490567],"category_scores_gemma":[0.0008350342,0.0004005917,0.0004228526,0.001889605,0.0004397646,0.0002382929,0.0002433453,0.001367846,0.00008863667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007382772,"about_ca_system_score_gemma":0.002819303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009350237,"about_ca_topic_score_gemma":0.001203721,"domain_scores_codex":[0.9927854,0.0009568842,0.001401102,0.001153236,0.002297237,0.001406154],"domain_scores_gemma":[0.9952,0.000699894,0.0006982422,0.001998524,0.0005969315,0.0008063686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2641303,0.008202306,0.4063123,0.005359403,0.01282776,0.0008324915,0.07534279,0.09961033,0.03431339,0.004905672,0.005044837,0.08311841],"study_design_scores_gemma":[0.05293561,0.02945452,0.8611984,0.007002461,0.0005198176,0.0001253707,0.01548262,0.01003473,0.01799415,0.00197173,0.000493055,0.002787483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952968,0.0008611536,0.00005829481,0.03940245,0.00009636207,0.005378558,0.0002370587,0.00009645292,0.0009016618],"genre_scores_gemma":[0.9973463,0.0001277442,0.0001841098,0.0005239015,0.0001398248,0.0002046578,0.00009399967,0.0001443715,0.001235051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4548861,"threshold_uncertainty_score":0.9998446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08474725006220774,"score_gpt":0.3510227390532605,"score_spread":0.2662754889910528,"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."}}