{"id":"W2965597847","doi":"10.1007/978-1-4939-9597-4_10","title":"Antigen Identification for Cell-Binding Antibodies Using Ligand-Directed Crosslinking and Biotin Transfer","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Panning (audio); Biotin; Ligand (biochemistry); Trypsin; Chemistry; Antibody; Biochemistry; Cell; Receptor; Antigen; Molecular biology; Computational biology; Combinatorial chemistry; Biology; Enzyme; Immunology","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":[0.0007223875,0.001378624,0.0005421483,0.0009753731,0.0006501005,0.0008190579,0.0008500796,0.0009499386,0.003665101],"category_scores_gemma":[0.0006708912,0.0006105772,0.0007267188,0.0004722092,0.0004467191,0.0007251519,0.0009122998,0.001435095,0.002120667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370762,"about_ca_system_score_gemma":0.0005139119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008179278,"about_ca_topic_score_gemma":0.001723328,"domain_scores_codex":[0.9994463,0.0001201279,0.00003272684,0.0001468274,0.0001003565,0.0001536597],"domain_scores_gemma":[0.9996349,0.0001538879,0.00003982423,0.0000541765,0.0000717475,0.00004557505],"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":[0.00006103014,0.00002697916,0.00009243707,0.0001030182,0.00001093947,0.00005728622,0.00003959583,0.00007308476,0.9950901,0.0006632222,0.00009633372,0.003685996],"study_design_scores_gemma":[0.00001411421,0.00006486694,0.0004027897,0.00001650915,0.00002736341,0.0001367656,0.00002328627,0.002123039,0.9932886,0.0002607952,0.003633144,0.000008785477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4368207,0.005325167,0.5450502,0.0004791183,0.0002334027,0.000578966,0.0003658136,0.001156455,0.009990125],"genre_scores_gemma":[0.7380598,0.005799613,0.2408413,0.0004892522,0.00007947016,0.0009142443,0.001401313,0.0004350241,0.01198007],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003665101,"threshold_uncertainty_score":0.01226097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970169963228618,"score_gpt":0.4481169225715829,"score_spread":0.3984152229392967,"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."}}