{"id":"W4405043149","doi":"10.1182/blood-2024-200033","title":"Physical and Psychological Burden on People with Hemophilia: Global Real-World Data","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real world data; Medicine; Psychology; Gerontology; Data science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448643,0.0002598961,0.0003040069,0.001020891,0.0004011258,0.000879706,0.0002742337,0.000473071,0.001485599],"category_scores_gemma":[0.004192787,0.0001719889,0.0006095096,0.002060032,0.0004381425,0.0009636341,0.001196234,0.000907775,0.0002657031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501371,"about_ca_system_score_gemma":0.0004954814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009590003,"about_ca_topic_score_gemma":0.01286952,"domain_scores_codex":[0.9989235,0.000504722,0.0001567541,0.0001142258,0.0001741485,0.0001267569],"domain_scores_gemma":[0.9961405,0.0005206613,0.00230754,0.0001679353,0.0003902774,0.0004730234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004497066,0.00004190975,0.9901311,0.000140624,0.0001019074,0.00004574188,0.0009019558,0.0001044373,0.00003892153,0.00005986903,0.001406788,0.006981619],"study_design_scores_gemma":[0.000005919328,0.00006260258,0.9965653,0.0001031673,0.00003332127,0.0001388331,0.001676878,0.000105267,0.00002250257,0.00005068619,0.001226119,0.000009389129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863572,0.00177271,0.0001327842,0.001086149,0.00002128471,0.00006726217,0.008671685,0.000007598458,0.001883365],"genre_scores_gemma":[0.9943776,0.001458774,0.0002569398,0.0002980736,0.00003004153,0.00008946192,0.003344541,0.000002568935,0.0001421748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009590003,"threshold_uncertainty_score":0.01906836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504847249851271,"score_gpt":0.3864878563966663,"score_spread":0.3214393838981536,"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."}}