{"id":"W4405048924","doi":"10.1182/blood-2024-211444","title":"Unwavering Priorities: Global Physician Alignment on Gene Therapy for Hemophilia","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Specialty; Family medicine; Demographics; Demography","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":[0.00869324,0.0001266625,0.0001745618,0.0009835871,0.001718781,0.001577385,0.0003651854,0.0005456031,0.002254652],"category_scores_gemma":[0.03385069,0.0001449966,0.0001895386,0.001321806,0.001032421,0.002078693,0.001962762,0.0009382287,0.0001477363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00374962,"about_ca_system_score_gemma":0.005170399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390326,"about_ca_topic_score_gemma":0.0197827,"domain_scores_codex":[0.9932995,0.004098835,0.0003876053,0.0003331001,0.001193409,0.0006875893],"domain_scores_gemma":[0.9718542,0.01295306,0.008700152,0.0004278042,0.002298416,0.003766331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002894468,0.0001300598,0.8461185,0.0003588111,0.00006984501,0.0003928091,0.05529374,0.000533329,0.0007367946,0.002627505,0.009617966,0.08383115],"study_design_scores_gemma":[0.00004730789,0.0002514086,0.8462921,0.0003408895,0.00003221021,0.0006645058,0.1277996,0.001586959,0.0002939447,0.003462974,0.01918622,0.00004183157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803739,0.0008211684,0.0009454169,0.01228804,0.00004709666,0.00006237591,0.0001809616,0.00001421605,0.005266852],"genre_scores_gemma":[0.9980953,0.0002241133,0.0005896379,0.0008537905,0.00002019434,0.00001743477,0.00005592509,0.000003119078,0.0001404177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390326,"threshold_uncertainty_score":0.04597473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295316223741979,"score_gpt":0.3249777534739233,"score_spread":0.2954461310997255,"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."}}