{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000150801,0.0001556476,0.0002723778,0.00002557742,0.0001101315,0.00003176504,0.0001386069,0.0001330739,0.002883733],"category_scores_gemma":[0.0001669693,0.0001238022,0.0002344594,0.0001215061,0.0002154112,0.00003588513,0.00005071794,0.0005369718,0.00004935195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002079175,"about_ca_system_score_gemma":0.00008914732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005658379,"about_ca_topic_score_gemma":0.00001038652,"domain_scores_codex":[0.9987138,0.000003922993,0.0002146313,0.000319298,0.0003262462,0.0004221066],"domain_scores_gemma":[0.9989934,0.0001760007,0.00003278537,0.0002549211,0.000169711,0.0003731587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007158594,0.0001836526,0.03646886,0.0005409447,0.000228866,0.00008032086,0.00003764669,0.000006737289,0.8848234,0.001412704,0.06514841,0.0103526],"study_design_scores_gemma":[0.001121223,0.00007314544,0.01043737,0.0001168128,0.0001146692,0.0001053248,0.00008391077,0.005904741,0.2587383,0.0004966801,0.7224894,0.0003184401],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937605,0.0002398879,0.0008345515,0.006662388,0.00008611764,0.0001991339,0.00006205686,0.00005691759,0.05425398],"genre_scores_gemma":[0.9149169,0.0001371542,0.007860685,0.0005563533,0.002707387,0.00005510041,0.0001039092,0.00003594896,0.07362654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.657341,"threshold_uncertainty_score":0.9980277,"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."}}