{"id":"W2015382099","doi":"10.1038/mt.2010.158","title":"2010 Gene Therapy Year in Review","year":2010,"lang":"en","type":"editorial","venue":"Molecular Therapy","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic enhancement; Medicine; Biology; Computational biology; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008896378,0.001289309,0.001444812,0.002774868,0.0008614078,0.004829179,0.001485355,0.002743171,0.09672146],"category_scores_gemma":[0.003025447,0.0004723818,0.0008061262,0.002052365,0.0006710936,0.003279175,0.001529297,0.00333113,0.08210336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807934,"about_ca_system_score_gemma":0.002985738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009740977,"about_ca_topic_score_gemma":0.002021946,"domain_scores_codex":[0.999228,0.00007201204,0.00007392252,0.0001059892,0.0004101286,0.0001098715],"domain_scores_gemma":[0.99819,0.0002139989,0.000156352,0.00006965285,0.0008544438,0.0005155078],"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":[0.00004568742,0.00004156357,0.00006647854,0.001508248,0.00001465987,0.0001189199,0.00001783431,0.00005870589,0.0007183827,0.00149089,0.8014632,0.1944553],"study_design_scores_gemma":[0.000005390357,0.0000164506,0.0000944815,0.0004055894,0.000006562288,0.0002001421,0.000009805739,0.00001179441,0.00007676165,0.0001999233,0.9989692,0.000003991382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.0007340554,0.498753,0.001224379,0.02450006,0.3467332,0.0003123547,0.00100806,0.0005611064,0.1261739],"genre_scores_gemma":[0.004296815,0.6042426,0.001639475,0.0295768,0.08180657,0.0002660049,0.002514417,0.0003540027,0.2753033],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.09672146,"threshold_uncertainty_score":0.3235655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512828282770272,"score_gpt":0.3210370592884185,"score_spread":0.3059087764607158,"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."}}