{"id":"W2032467518","doi":"10.1021/ac1003085","title":"Peptide Arrays for Screening Cancer Specific Peptides","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peptide; Chemistry; Fluorescein isothiocyanate; Phage display; Cancer cell; Peptide library; Flow cytometry; Receptor; Molecular biology; Confocal microscopy; Cancer; Biochemistry; Peptide sequence; Fluorescence; Cell biology; Biology","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":[0.0004600223,0.0008916092,0.0007522588,0.0007086499,0.0002170271,0.0004391339,0.0006055817,0.000829788,0.002495982],"category_scores_gemma":[0.000455721,0.0003638576,0.000342692,0.0003670109,0.000178188,0.0003961416,0.0004341758,0.0008514975,0.001710614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115565,"about_ca_system_score_gemma":0.0001670993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116563,"about_ca_topic_score_gemma":0.0002879606,"domain_scores_codex":[0.9991391,0.0001986316,0.00004276009,0.0002004098,0.0003367816,0.00008223514],"domain_scores_gemma":[0.9997196,0.0001281773,0.00003331433,0.00002806443,0.00005766184,0.00003316939],"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":[0.00004350318,0.00003159794,0.0001123862,0.0001063972,0.00001211544,0.00004012332,0.000009888445,0.000169057,0.9901002,0.00009346361,0.000179506,0.009101617],"study_design_scores_gemma":[0.00002300038,0.0004395823,0.000919619,0.00001475972,0.00003135032,0.0005945714,0.00001423206,0.003371962,0.985696,0.000145888,0.008731782,0.00001713518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3352379,0.02287855,0.6233994,0.0005725638,0.0005470488,0.001292436,0.002577117,0.003117558,0.01037746],"genre_scores_gemma":[0.4841078,0.01205573,0.4841501,0.0008735115,0.0002134052,0.001951336,0.003614463,0.0002188495,0.01281482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002495982,"threshold_uncertainty_score":0.008349895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617680770672688,"score_gpt":0.3573568038812969,"score_spread":0.31117999617457,"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."}}