{"id":"W4353086273","doi":"10.54097/hset.v36i.6121","title":"Monoclonal Antibodies in Cancer Immunotherapy","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Monoclonal antibody; Immunotherapy; Cancer; Medicine; Antigen; Antibody; Cancer immunotherapy; Targeted therapy; Hybridoma technology; In vivo; Cancer research; Immunology; Biology; Biotechnology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959296,0.0001081696,0.0002119253,0.001942197,0.00005427627,0.0000152496,0.0001677504,0.00009013721,0.000007501153],"category_scores_gemma":[0.0000617628,0.00008348298,0.00001624253,0.003136771,0.0004353016,0.00007915622,0.0001062879,0.000245276,0.00003570257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000618916,"about_ca_system_score_gemma":0.00009480346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645611,"about_ca_topic_score_gemma":0.00004082262,"domain_scores_codex":[0.9988372,0.000004143825,0.0001659422,0.0002930624,0.0002284703,0.0004711214],"domain_scores_gemma":[0.9996947,0.00004442204,0.00001437138,0.0001484263,0.0000402155,0.00005783908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008403399,0.00009906072,0.3216953,0.0001185736,0.00002119944,0.0006214652,0.000553065,0.0007315219,0.5562278,0.1002859,0.0002540093,0.01930811],"study_design_scores_gemma":[0.001430407,0.0002530806,0.812623,0.0004309537,0.000004079429,0.0001453682,0.0001896793,0.0350022,0.08240949,0.001483852,0.06565499,0.0003729628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873075,0.001249111,0.000005067104,0.01073266,0.0001452823,0.0001134722,0.000002707269,0.0002599035,0.0001842305],"genre_scores_gemma":[0.9931097,0.005726063,0.0006474591,0.00002877546,0.00004055929,0.00004028183,0.000001228495,0.00001290935,0.0003930093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4909277,"threshold_uncertainty_score":0.3404337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934345320873267,"score_gpt":0.3204643262657473,"score_spread":0.3011208730570146,"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."}}