{"id":"W2026797869","doi":"10.1158/1535-7163.targ-13-a248","title":"Abstract A248: Integrated therapeutic antibody development at the National Research Council of Canada.","year":2013,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Antibody; Monoclonal antibody; Computational biology; Immunization; Panning (audio); clone (Java method); Biology; Immunology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004139938,0.00157549,0.0009436188,0.002085053,0.002581673,0.002951628,0.002902054,0.001576653,0.1288527],"category_scores_gemma":[0.001911676,0.0008027848,0.0005946718,0.00151475,0.001038557,0.000781569,0.001507526,0.001885634,0.04756255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01680298,"about_ca_system_score_gemma":0.05840694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5697708,"about_ca_topic_score_gemma":0.6331105,"domain_scores_codex":[0.9972113,0.0001457801,0.00005059991,0.0002910655,0.00185817,0.0004431269],"domain_scores_gemma":[0.9926725,0.0002366031,0.0001673657,0.0002294377,0.004063617,0.002630431],"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":[0.0008401655,0.0003759447,0.00297373,0.0005463455,0.00004456002,0.0005224022,0.0002613428,0.001302959,0.05638126,0.01389273,0.7014798,0.2213789],"study_design_scores_gemma":[0.0001589809,0.0002529638,0.003447356,0.0001115066,0.0000211212,0.0001744373,0.0001005265,0.00213107,0.007373675,0.0008219318,0.9853706,0.0000358359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02551054,0.0297917,0.06411594,0.02617919,0.006452558,0.004098041,0.06035941,0.01784662,0.765646],"genre_scores_gemma":[0.05398892,0.01138671,0.0546056,0.003646826,0.0002600884,0.0007777896,0.03694395,0.001439763,0.8369503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5697708,"threshold_uncertainty_score":0.8655258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501352704767565,"score_gpt":0.3854534110652886,"score_spread":0.2353181405885321,"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."}}