{"id":"W2024580589","doi":"10.1006/mthe.2002.0685","title":"New Editor of Molecular Therapy","year":2002,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Editorial board; Editor in chief; Management; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007774434,0.0002293498,0.0001947912,0.00005908624,0.00002822125,0.00001703405,0.000289684,0.0001628838,0.0002503565],"category_scores_gemma":[0.00001592937,0.0002215064,0.0002048111,0.0001367204,0.00003874328,0.000002637908,0.00003934561,0.00008697558,0.00002780729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006241676,"about_ca_system_score_gemma":0.00002387167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001715856,"about_ca_topic_score_gemma":7.90077e-7,"domain_scores_codex":[0.9988978,0.00004128853,0.00022503,0.0003337243,0.0002230797,0.0002790863],"domain_scores_gemma":[0.9991664,0.00000551205,0.00006199948,0.0005788951,0.0000637945,0.0001234574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004065074,0.0000632292,0.00009156064,0.000004599113,0.0001082889,0.000008604003,0.00007124573,0.0004535851,0.9550624,0.00006058146,0.007105223,0.03693005],"study_design_scores_gemma":[0.001032288,0.0003532721,0.0001279128,0.000006238662,0.000004938613,0.000007055,0.00001070758,0.00006979026,0.8155984,0.00007607699,0.1825044,0.0002090161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284873,0.04071113,0.1270576,0.0003114934,0.001175701,0.0003395606,0.0000078791,0.00003895918,0.00187045],"genre_scores_gemma":[0.9895799,0.003658154,0.004007864,0.0005858751,0.001176796,0.00001743674,0.00002434923,0.00007132676,0.0008782616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1753991,"threshold_uncertainty_score":0.9032771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007478455305309469,"score_gpt":0.2618554791654846,"score_spread":0.2543770238601751,"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."}}