{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002873121,0.001142599,0.0006770022,0.001608172,0.001125424,0.002516159,0.001321134,0.003012718,0.179712],"category_scores_gemma":[0.001711188,0.0002413554,0.0007857265,0.0007524266,0.0002860228,0.0006642463,0.001583643,0.001655466,0.08703773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777967,"about_ca_system_score_gemma":0.006202377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004634691,"about_ca_topic_score_gemma":0.009564792,"domain_scores_codex":[0.9989386,0.0001199541,0.00003702998,0.0001420784,0.0005203038,0.0002420697],"domain_scores_gemma":[0.9975129,0.0001179634,0.0001049088,0.00007966711,0.001005906,0.001178721],"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":[0.0008879281,0.0004380308,0.0005595296,0.0003474757,0.00002327665,0.0001296882,0.00004522192,0.0003295123,0.009042182,0.002115524,0.9155002,0.07058141],"study_design_scores_gemma":[0.0001484029,0.0005327259,0.004168714,0.0001051513,0.00003000601,0.0001025223,0.00006858494,0.0006870105,0.004087107,0.001240369,0.9888109,0.00001850679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02213364,0.02461506,0.0264396,0.08710329,0.2108884,0.005690073,0.05036745,0.003028585,0.5697339],"genre_scores_gemma":[0.0143337,0.004457693,0.004261984,0.003717887,0.01121613,0.001061041,0.01276128,0.000446988,0.9477432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.179712,"threshold_uncertainty_score":0.6011964,"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."}}