{"id":"W2330363700","doi":"10.1097/00006231-200001000-00015","title":"Pre-targeted radioimmunotherapy of human colon cancer xenografts in athymic mice using streptavidin-CC49 monoclonal antibody and 90Y-DOTA-biotin","year":2000,"lang":"en","type":"article","venue":"Nuclear Medicine Communications","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Toronto General Hospital","funders":"National Cancer Institute; University of Toronto","keywords":"Radioimmunotherapy; Medicine; Monoclonal antibody; Bone marrow; Toxicity; Colorectal cancer; Streptavidin; Cancer; Antibody; Cancer research; Pathology; Internal medicine; Immunology; Biotin; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002330118,0.0005395221,0.0004868293,0.0003141437,0.0001440302,0.000272454,0.0002886791,0.0004900911,0.0009640983],"category_scores_gemma":[0.0001299544,0.0002533379,0.0003175593,0.0001959988,0.0002816214,0.0002284448,0.0002129614,0.0009060588,0.0003097928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344298,"about_ca_system_score_gemma":0.0003417165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008095654,"about_ca_topic_score_gemma":0.001868122,"domain_scores_codex":[0.9997453,0.00005470174,0.00001471469,0.00005495346,0.00007071495,0.00005970741],"domain_scores_gemma":[0.9998374,0.0000332284,0.00005466125,0.00002577276,0.00001411667,0.00003478266],"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":[0.0002679652,0.0001210923,0.00005999142,0.00002859083,0.000006050315,0.00001911589,0.00001161979,0.0001013007,0.998378,0.00005129015,0.00002772244,0.0009270827],"study_design_scores_gemma":[0.00008601422,0.005883052,0.001713654,0.000004235714,0.00002267572,0.0002313217,0.00001055949,0.0007893316,0.9899205,0.00001907953,0.0013132,0.000006357208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992143,0.00145161,0.004576975,0.00006811508,0.00003816052,0.0002154847,0.0002129661,0.0001342917,0.001159358],"genre_scores_gemma":[0.984735,0.001583247,0.009252895,0.00006162819,0.00002443709,0.0003502177,0.0005310531,0.00004285216,0.0034186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009640983,"threshold_uncertainty_score":0.003225267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06126208999388726,"score_gpt":0.4147603174313801,"score_spread":0.3534982274374929,"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."}}