{"id":"W7073990924","doi":"","title":"Iedda:An attractive bioorthogonal reaction for biomedical applications","year":2021,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Bioorthogonal chemistry; Biocompatible material; Yield (engineering); Reaction conditions","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":[],"consensus_categories":[],"category_scores_codex":[0.0005210857,0.0007076174,0.0002975726,0.0004392379,0.0002920183,0.0006895038,0.0004499796,0.0009989605,0.001774026],"category_scores_gemma":[0.0004371844,0.0003167345,0.0003780556,0.0003566514,0.0003709919,0.000702152,0.0008592051,0.001530565,0.001067907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419151,"about_ca_system_score_gemma":0.0003963656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003378287,"about_ca_topic_score_gemma":0.0006280919,"domain_scores_codex":[0.9996901,0.00006436337,0.00001419428,0.0001006424,0.00006933518,0.00006138966],"domain_scores_gemma":[0.999895,0.00002731858,0.00002230488,0.00001690778,0.00001986332,0.00001859173],"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":[0.00009907378,0.00007772342,0.0001445095,0.0001751706,0.00001987467,0.0001269804,0.00006140172,0.0002351464,0.969835,0.005576119,0.0009278013,0.02272121],"study_design_scores_gemma":[0.000013094,0.000198812,0.0001699576,0.00001229106,0.00001654017,0.0002713178,0.00002554836,0.001197686,0.9783814,0.0006593674,0.01903894,0.00001506066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3693691,0.01768703,0.5536994,0.002891296,0.001459993,0.0005391844,0.0006948314,0.001422966,0.05223624],"genre_scores_gemma":[0.742092,0.007126168,0.2170144,0.001337131,0.0001045754,0.000298929,0.0005379803,0.0001643585,0.03132447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001774026,"threshold_uncertainty_score":0.005934656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258054013801059,"score_gpt":0.3438596285277509,"score_spread":0.3012790883897403,"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."}}