{"id":"W3048886060","doi":"10.1182/bloodadvances.2020002142","title":"Gene therapy for hemophilia: anticipating the unexpected","year":2020,"lang":"en","type":"article","venue":"Blood Advances","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"","keywords":"Genetic enhancement; Medicine; Gene; Bioinformatics; Internal medicine; Biology; Genetics","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":[0.00007960727,0.0001102603,0.0001948306,0.00002030525,0.0001688286,0.00001649005,0.0001013337,0.00003481632,0.00005689196],"category_scores_gemma":[0.0001770537,0.00005788116,0.00009477864,0.0002107814,0.00006990623,0.0000584455,0.00002076101,0.0001016788,0.00001828207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006151519,"about_ca_system_score_gemma":0.00005259364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002665786,"about_ca_topic_score_gemma":0.000001185656,"domain_scores_codex":[0.9991643,0.00002407215,0.0001460021,0.0002148194,0.0002013899,0.0002494318],"domain_scores_gemma":[0.9994517,0.0001674347,0.0000389441,0.0001517826,0.00008034081,0.0001098223],"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":[0.002094329,0.001391171,0.1384497,0.0004547678,0.001080778,0.0002256127,0.004194088,0.00004559496,0.593202,0.000592065,0.001847885,0.256422],"study_design_scores_gemma":[0.01004161,0.003026255,0.01132297,0.00007091096,0.0002160074,0.00003821596,0.000720837,0.0007859913,0.8910215,0.0005043115,0.08200005,0.0002513235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610261,0.01073099,0.00008717601,0.02599925,0.00006187143,0.0009996272,0.00001140833,0.00009231563,0.0009912144],"genre_scores_gemma":[0.9931364,0.00144896,0.00275937,0.001322773,0.0006926787,0.0001258481,0.00002384473,0.00002166234,0.0004684277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2978195,"threshold_uncertainty_score":0.2360325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063301568724029,"score_gpt":0.3500854237502413,"score_spread":0.289452408063001,"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."}}