{"id":"W4307279935","doi":"10.1101/2022.10.21.513107","title":"Targeting the Human Papillomavirus 16 E6 Oncoprotein with Antibodies","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Antibody; Immunofluorescence; Carcinogenesis; Biology; Cancer research; Molecular biology; Computational biology; Virology; Cancer; Immunology; Genetics","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":[0.00053781,0.0006926773,0.0002527693,0.0005063832,0.0001651991,0.0004955432,0.000349679,0.0005855182,0.002083815],"category_scores_gemma":[0.0003208686,0.0002088711,0.0004983845,0.0002551424,0.0001692769,0.0003595692,0.0003248178,0.0006793588,0.001755265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003701896,"about_ca_system_score_gemma":0.0001395248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001820664,"about_ca_topic_score_gemma":0.0001657424,"domain_scores_codex":[0.9996467,0.00007970591,0.00003581885,0.00006860105,0.0001183849,0.0000508574],"domain_scores_gemma":[0.9998851,0.00002692383,0.00002031329,0.00001592028,0.00003454538,0.00001726631],"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":[0.00006266229,0.00005260017,0.0002414953,0.000205505,0.00001986179,0.00006537282,0.00001090278,0.00008919715,0.9873424,0.0003122665,0.0006363071,0.01096138],"study_design_scores_gemma":[0.00001734332,0.0002648635,0.000997261,0.00002834337,0.00003111967,0.0006177787,0.000008097668,0.0003257841,0.9606528,0.0001450354,0.03690602,0.000005449531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792934,0.09810153,0.1830643,0.001701309,0.001564365,0.0008013127,0.001822067,0.001757099,0.03189458],"genre_scores_gemma":[0.8086287,0.04693506,0.1090498,0.001670751,0.0003989446,0.0004190024,0.003981145,0.0002725722,0.028644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002083815,"threshold_uncertainty_score":0.006971061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408144837919419,"score_gpt":0.2789799531778872,"score_spread":0.254898504798693,"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."}}