{"id":"W2994055408","doi":"10.1038/d41586-019-03716-9","title":"Gene Therapy Arrives","year":2019,"lang":"en","type":"article","venue":"Nature","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Code (set theory); Computer science; Genetic code; Computational biology; Gene; Biology; Genetics; Programming language","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":[0.002755367,0.000614868,0.0008209512,0.0007312856,0.001980869,0.005485273,0.0006831728,0.005307626,0.05260772],"category_scores_gemma":[0.005387178,0.000258893,0.0005893245,0.0004177506,0.004290796,0.005221884,0.002312803,0.01094975,0.02242962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451298,"about_ca_system_score_gemma":0.002540646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228658,"about_ca_topic_score_gemma":0.002628187,"domain_scores_codex":[0.9985899,0.0003170983,0.00006014664,0.0002657842,0.0005883602,0.0001787339],"domain_scores_gemma":[0.997707,0.0007048617,0.0001096103,0.0003198113,0.0005681101,0.000590451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009669495,0.00005722581,0.0002762051,0.00014665,0.00001822345,0.0001632894,0.0002840887,0.00009761146,0.002037859,0.3095183,0.626007,0.06129678],"study_design_scores_gemma":[0.00001194194,0.00003239287,0.0001289748,0.0000621967,0.000006469361,0.0001473244,0.0001588853,0.00004122191,0.0004599778,0.04429071,0.9546534,0.000006574993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003106758,0.04270198,0.007235881,0.6292503,0.05926832,0.00004028143,0.000508143,0.0004770244,0.2574113],"genre_scores_gemma":[0.05423478,0.03443279,0.004541974,0.4370925,0.02916996,0.0000903823,0.0006392263,0.0006021319,0.4391963],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05260772,"threshold_uncertainty_score":0.1759903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004016990729922484,"score_gpt":0.2461932094128152,"score_spread":0.2421762186828927,"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."}}