{"id":"W4406402617","doi":"10.1021/acs.biochem.4c00793","title":"Peptidisc-Assisted Hydrophobic Clustering Toward the Production of Multimeric and Multispecific Nanobody Proteins","year":2025,"lang":"en","type":"article","venue":"Biochemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Cluster analysis; Production (economics); Biochemistry; Computer science; Artificial intelligence","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":[0.0001992789,0.0003330066,0.0001476631,0.0001833589,0.0001658311,0.0001723438,0.0002059069,0.0002075427,0.0005464389],"category_scores_gemma":[0.0001206219,0.0001051439,0.0001513343,0.000182948,0.0002116814,0.0001848901,0.0003195769,0.0003680235,0.0003552454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252729,"about_ca_system_score_gemma":0.0002576237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002671991,"about_ca_topic_score_gemma":0.000496486,"domain_scores_codex":[0.9998521,0.00002333707,0.000008950224,0.0000328006,0.00006446067,0.00001839524],"domain_scores_gemma":[0.9999139,0.00001096946,0.00003060668,0.00000921447,0.000015343,0.00001988261],"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":[0.00001634489,0.000008951596,0.00004655332,0.00003317688,0.000002554952,0.0000238326,0.00001056639,0.0001492795,0.9971018,0.0001962488,0.0000604119,0.002350214],"study_design_scores_gemma":[0.000002116058,0.00004952291,0.000192334,0.000001666412,0.000002596805,0.00009219747,0.000003785507,0.0007019548,0.9970238,0.00002922371,0.001898745,0.000002098882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635322,0.002063146,0.1250105,0.0002835795,0.00006787715,0.0001579963,0.0003568899,0.0005877995,0.007940067],"genre_scores_gemma":[0.9390909,0.001083854,0.05400042,0.0001425405,0.0000197509,0.00008171592,0.0003676131,0.00008187732,0.00513141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005464389,"threshold_uncertainty_score":0.001833618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379706590479231,"score_gpt":0.3055755113503236,"score_spread":0.2817784454455313,"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."}}