{"id":"W4242786110","doi":"10.1007/s11248-020-00217-8","title":"Program and Abstracts of the 16th Transgenic Technology Meeting (TT2020)","year":2020,"lang":"en","type":"article","venue":"Transgenic Research","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto; Regeneron Pharmaceuticals","keywords":"Biology; Transgene; Library science; Biotechnology; Genetics; Gene; Computer science","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":[0.0003213572,0.00008923974,0.0001272521,0.00008834777,0.00005559645,0.00001410379,0.0002783503,0.0001316987,0.00003426019],"category_scores_gemma":[0.00005722668,0.00006648407,0.00004746311,0.0009192661,0.0002130781,0.00003649745,0.00001923895,0.0005457115,0.00001094008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001696053,"about_ca_system_score_gemma":0.0000389885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001242128,"about_ca_topic_score_gemma":0.000007100096,"domain_scores_codex":[0.9989827,0.00002704058,0.000214322,0.0001533081,0.0003026116,0.0003199759],"domain_scores_gemma":[0.9996036,0.00005908171,0.000009322622,0.0001604871,0.0000438444,0.0001236371],"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":[0.0000466394,0.0001905791,0.00111271,0.005391647,0.0002345789,0.000004200093,0.007025929,0.005093667,0.6344948,0.001020731,0.002412209,0.3429723],"study_design_scores_gemma":[0.003161848,0.001279656,0.05742902,0.0008554772,0.0001429045,0.00003565758,0.002569884,0.08475883,0.6786814,0.002862851,0.1670027,0.001219783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887084,0.00142254,0.0003244822,0.007066601,0.0001157537,0.0004067039,0.000006520454,0.000298908,0.001650127],"genre_scores_gemma":[0.9988682,0.0003248605,0.0006322332,0.00001138447,0.00006694719,0.00004695337,0.000001965374,0.00002202305,0.0000254791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3417526,"threshold_uncertainty_score":0.2711142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594139504797309,"score_gpt":0.3136454121021674,"score_spread":0.2577040170541943,"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."}}