{"id":"W2740295197","doi":"10.1007/978-3-319-55780-9_21","title":"Gene Therapy in Tyrosinemia: Potential and Pitfalls","year":2017,"lang":"en","type":"review","venue":"Advances in experimental medicine and biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Tyrosinemia; Genetic enhancement; Medicine; Bioinformatics; Computational biology; Computer science; Biology; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125459,0.0006465011,0.001441931,0.001036691,0.0002740016,0.001231147,0.0009921493,0.001638549,0.002745397],"category_scores_gemma":[0.0009659261,0.0002018496,0.0004677267,0.001006684,0.001195337,0.001827454,0.0007592909,0.003299142,0.001203465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307674,"about_ca_system_score_gemma":0.001118206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007429286,"about_ca_topic_score_gemma":0.002002718,"domain_scores_codex":[0.9997737,0.00005396532,0.0000244481,0.00003673558,0.00008547292,0.00002570978],"domain_scores_gemma":[0.9995068,0.0003311978,0.0000381915,0.00001554136,0.0000719422,0.00003623448],"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":[0.0001189671,0.00007175131,0.0001773134,0.009459321,0.00007938572,0.0003716905,0.00008907702,0.0005362874,0.002841218,0.01816591,0.04678734,0.9213017],"study_design_scores_gemma":[0.00003369888,0.00008295487,0.0003530308,0.002492122,0.0000785921,0.001325342,0.00006858031,0.0001673644,0.0007238745,0.008605077,0.9860461,0.00002322637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007267705,0.9983753,0.0001878504,0.0006892793,0.0002000262,0.000001196905,0.000007321504,0.000006014928,0.0004602865],"genre_scores_gemma":[0.0009337996,0.9974599,0.0002641104,0.0005498935,0.0003354764,0.000003987518,0.00001357171,0.000002382678,0.0004367054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002745397,"threshold_uncertainty_score":0.009184241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080440663911607,"score_gpt":0.4612402587488089,"score_spread":0.4204358521096928,"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."}}