{"id":"W2951468212","doi":"10.1063/1.5110811","title":"The research and development of bispecific antibodies","year":2019,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bispecific antibody; Blinatumomab; Antibody; Computer science; Monoclonal antibody; Medicine; Immunology","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":[0.001156233,0.0007095422,0.0004395162,0.001029118,0.0001865517,0.0009198284,0.0006264386,0.0008772672,0.001702385],"category_scores_gemma":[0.0007904906,0.0002935631,0.0004596642,0.0006012319,0.0004019751,0.001077607,0.0006289602,0.001644957,0.001420963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870198,"about_ca_system_score_gemma":0.0006714084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004049535,"about_ca_topic_score_gemma":0.0003264078,"domain_scores_codex":[0.999347,0.000133456,0.00003747379,0.0001406265,0.0002595525,0.00008172658],"domain_scores_gemma":[0.9997271,0.00005618393,0.00004689327,0.00001883179,0.000109536,0.00004157343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000208869,0.0003289168,0.001082887,0.003994182,0.0001183888,0.0005423909,0.0002467367,0.001733967,0.3710272,0.05863224,0.01417071,0.5479136],"study_design_scores_gemma":[0.00003715271,0.0007257619,0.0009513049,0.0003763049,0.00006857337,0.001585303,0.00005241247,0.001921254,0.2426035,0.005237706,0.7463999,0.0000408952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04546298,0.7844757,0.1140448,0.003083327,0.002047234,0.0002982164,0.0003247653,0.0004176046,0.04984542],"genre_scores_gemma":[0.2608933,0.6259003,0.07499862,0.004675426,0.001093183,0.0005586072,0.001128479,0.0001187563,0.03063326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001702385,"threshold_uncertainty_score":0.006114841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175080855856907,"score_gpt":0.3660050985851566,"score_spread":0.2484970129994659,"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."}}