{"id":"W4242414728","doi":"10.1007/978-3-319-78259-1_1","title":"Introduction","year":2018,"lang":"en","type":"article","venue":"Experientia supplementum","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Genetic enhancement; Nucleic acid; Computational biology; Biology; Gene; Medicine; Genetics; Bioinformatics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007704708,0.0007138613,0.000363731,0.0009124794,0.001026954,0.002064774,0.001235929,0.001138308,0.4283766],"category_scores_gemma":[0.001418821,0.0001711972,0.0004438869,0.0007736809,0.0004489599,0.0009298039,0.001679552,0.001251768,0.3195838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006986331,"about_ca_system_score_gemma":0.001458944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534265,"about_ca_topic_score_gemma":0.001898683,"domain_scores_codex":[0.9993993,0.00005951725,0.00002328219,0.0001320394,0.000317187,0.00006875199],"domain_scores_gemma":[0.9993686,0.00006306792,0.00002557945,0.0000880704,0.0002687873,0.0001858666],"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":[0.0001831434,0.0001162098,0.0006001041,0.0004383021,0.000008616514,0.0002308327,0.0002140265,0.0001413749,0.008767192,0.0389105,0.5812919,0.3690979],"study_design_scores_gemma":[0.000003843946,0.00001787138,0.0002241303,0.00004390169,0.000002013157,0.00008140581,0.00002607022,0.00001768274,0.0006604654,0.001555126,0.9973641,0.00000350884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.003966909,0.004478518,0.02203829,0.007408901,0.01096365,0.0004759065,0.0126889,0.002878698,0.9351003],"genre_scores_gemma":[0.008401231,0.002717576,0.007578282,0.002821232,0.0009328698,0.0002762678,0.007892678,0.0004768906,0.9689029],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4283766,"threshold_uncertainty_score":0.8153514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005730936860672155,"score_gpt":0.2540047057979133,"score_spread":0.2482737689372412,"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."}}