{"id":"W3030023178","doi":"10.1111/hae.14023","title":"Uncertainty in an era of transformative therapy for haemophilia: Addressing the unknowns","year":2020,"lang":"en","type":"article","venue":"Haemophilia","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"","keywords":"Haemophilia; Medicine; Clinical trial; Haemophilia A; Acknowledgement; Gene transfer; Genetic enhancement; Intensive care medicine; Transformative learning; Gene; Surgery; Computer science; Pathology; Biology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392671,0.0001352459,0.0001669931,0.00001634535,0.0000505587,0.00001259825,0.0002198121,0.00008837187,0.000009973233],"category_scores_gemma":[0.00003912787,0.0001015687,0.00009304096,0.0001110818,0.0000709541,0.000005736353,0.00002324343,0.0001209065,7.934948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006236085,"about_ca_system_score_gemma":0.00004508382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001259809,"about_ca_topic_score_gemma":0.00005560255,"domain_scores_codex":[0.999244,0.00003705457,0.0002236907,0.0002167967,0.00008528752,0.0001932222],"domain_scores_gemma":[0.9996025,0.00002126522,0.0000437071,0.0002096228,0.00005931739,0.00006360548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006756808,0.0001063132,0.0008046438,0.000121635,0.00006882061,0.000002666726,0.005869184,0.03468918,0.899044,0.0001863884,0.0005992981,0.05783218],"study_design_scores_gemma":[0.002999983,0.001492254,0.008970381,0.00007027993,0.00002528549,0.000007193267,0.001327458,0.02139785,0.945233,0.000476617,0.01756278,0.0004369552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866246,0.001312237,0.009689378,0.001582974,0.00007520527,0.0004974566,0.00006335403,0.00001119022,0.0001436131],"genre_scores_gemma":[0.9985538,0.0002175095,0.0004529375,0.0004494324,0.0001838982,0.00004210258,0.00006983289,0.00001946615,0.00001107839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05739523,"threshold_uncertainty_score":0.414185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787332188454652,"score_gpt":0.3425752217972616,"score_spread":0.2947018999127151,"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."}}