{"id":"W3197886864","doi":"10.1016/j.jpba.2021.114354","title":"Cell affinity screening combined with nanoLC-MS/MS based peptidomics for identifying cancer cell binding peptides from Bufo Bufo gargarizans","year":2021,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Peptide; Biochemistry; Cell; Computational biology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005028174,0.0002994852,0.0009156973,0.0002450272,0.0003887812,0.0001159815,0.0002558395,0.0002688023,0.001816697],"category_scores_gemma":[0.00007431494,0.0002112824,0.000581781,0.0005787747,0.0005180666,0.0002436022,0.00009922201,0.0005951592,0.000005530804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006904404,"about_ca_system_score_gemma":0.0001935197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002803515,"about_ca_topic_score_gemma":0.0002531067,"domain_scores_codex":[0.9980001,0.0001897856,0.0007222273,0.0004035812,0.000178563,0.0005057735],"domain_scores_gemma":[0.9981025,0.0007643923,0.0004767722,0.0001450966,0.0002978778,0.0002133329],"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":[0.001494353,0.0007927914,0.008162366,0.0001254229,0.003136226,0.00009192435,0.0002843127,0.00008745564,0.98163,0.00001834182,0.001602222,0.002574567],"study_design_scores_gemma":[0.00971017,0.0006360885,0.002267031,0.0003237725,0.009240926,0.00005189777,0.00241503,0.002620235,0.9599924,0.00006180989,0.01209385,0.0005867771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525511,0.003946847,0.04097013,0.001512575,0.0003543614,0.0001197711,0.0004278915,0.00002983674,0.00008746151],"genre_scores_gemma":[0.9897224,0.001025842,0.007928868,0.0005729275,0.0001721243,0.000005490276,0.0001477038,0.00003214953,0.00039255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717122,"threshold_uncertainty_score":0.9990958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349560572783891,"score_gpt":0.2978626610559241,"score_spread":0.2643670553280851,"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."}}