{"id":"W2343562979","doi":"10.1161/circresaha.115.307015","title":"Gene Therapy for Coagulation Disorders","year":2016,"lang":"en","type":"review","venue":"Circulation Research","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Genetic enhancement; Clotting factor; Factor IX; Coagulation; Hemostasis; Medicine; Transgene; Gene; Vectors in gene therapy; Bioinformatics; Vector (molecular biology); Computational biology; Immunology; Biology; Intensive care medicine; Recombinant DNA; Genetics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653696,0.001504074,0.001138076,0.002360469,0.0003443356,0.001129874,0.0009493749,0.001690786,0.00584858],"category_scores_gemma":[0.0007167985,0.0002741354,0.0005400162,0.002069492,0.00101824,0.001568493,0.0009853692,0.003100445,0.005560198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008425002,"about_ca_system_score_gemma":0.0007627197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008068467,"about_ca_topic_score_gemma":0.00109541,"domain_scores_codex":[0.9996915,0.00005803442,0.00002964119,0.00006624452,0.0001252135,0.00002929838],"domain_scores_gemma":[0.9997683,0.000119758,0.00003340284,0.00001525352,0.00004454496,0.00001871256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004171389,0.0000794201,0.00009916461,0.007013904,0.00006020622,0.000279703,0.00009883312,0.0004009574,0.004421572,0.01211907,0.06649676,0.9088886],"study_design_scores_gemma":[0.00001526067,0.00004579675,0.0001665414,0.0009673659,0.00002446534,0.001076652,0.00001845103,0.00005472787,0.000624266,0.002360087,0.9946362,0.00001007828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001402772,0.9943179,0.0005933069,0.0003730008,0.0008218274,0.00001645285,0.00002448953,0.00002549329,0.003687167],"genre_scores_gemma":[0.001220009,0.9918337,0.0007997179,0.0008448223,0.0004929259,0.00003550414,0.00007516785,0.000008874146,0.004689363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00584858,"threshold_uncertainty_score":0.01956546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549179057864536,"score_gpt":0.4695268050582613,"score_spread":0.3146088992718077,"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."}}