{"id":"W2953681722","doi":"10.1016/j.molp.2019.06.010","title":"Nanoparticle-Mediated Genetic Engineering of Plants","year":2019,"lang":"en","type":"article","venue":"Molecular Plant","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Foundation for Food and Agriculture Research; Innovative Genomics Institute; California Institute for Quantitative Biosciences; Arnold and Mabel Beckman Foundation; Canadian Aeronautics and Space Institute; Burroughs Wellcome Fund; University of California Berkeley; National Institute of General Medical Sciences; Schlumberger Foundation; U.S. Department of Agriculture","keywords":"Biology; Biotechnology; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004073024,0.00009933937,0.0001105273,0.00002784945,0.00001209693,0.00000625594,0.00009493142,0.00009148287,0.00001593094],"category_scores_gemma":[0.00001561646,0.00008700193,0.0000425447,0.0000356877,0.00001102127,0.000001713159,0.00003074003,0.00003855095,0.00004711353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004513192,"about_ca_system_score_gemma":0.00003250437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519872,"about_ca_topic_score_gemma":0.0000187429,"domain_scores_codex":[0.9994153,0.00001678554,0.000141333,0.0001750071,0.0001022033,0.0001493277],"domain_scores_gemma":[0.9996998,0.000004911547,0.00004450479,0.0001833058,0.00001976393,0.00004770627],"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":[0.00002422905,0.00002032639,0.001556123,0.00001785931,0.00003806798,0.00002078062,0.00001931094,0.001798968,0.9958477,0.00003611077,0.0005244577,0.00009606191],"study_design_scores_gemma":[0.000298437,0.0001116021,0.001894987,0.00001700208,0.000008657812,0.00006352297,0.000007261692,0.001028222,0.9807978,0.000001492717,0.01564992,0.0001211178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975007,0.001426698,0.0005341776,0.00002708113,0.0001235128,0.0001288187,0.00006481788,0.00001084017,0.0001833291],"genre_scores_gemma":[0.9987843,0.00006173683,0.0003493807,0.00007115003,0.00004015906,0.000005370141,0.0004700525,0.00001297026,0.0002049051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01512546,"threshold_uncertainty_score":0.3547836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003777340412895083,"score_gpt":0.1780977890269637,"score_spread":0.1743204486140686,"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."}}