{"id":"W4318045038","doi":"10.3389/fimmu.2023.1070492","title":"Human antibodies targeting ENPP1 as candidate therapeutics for cancers","year":2023,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Terry Fox Research Institute; University of British Columbia","funders":"National Institutes of Health; National Cancer Institute; Stand Up To Cancer; University of Pittsburgh","keywords":"Antibody; Cancer research; Cancer; Phage display; Adept; Cancer cell; Phosphodiesterase; Avidity; Ovarian cancer; Immunotherapy; Cancer immunotherapy; Chemistry; Medicine; Immunology; Enzyme; Biochemistry; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001773116,0.0004558351,0.0002620786,0.0002540663,0.0000894984,0.0003430682,0.0002667946,0.0003779464,0.00133485],"category_scores_gemma":[0.0001186409,0.0001148362,0.0001974286,0.0001950341,0.0001440219,0.0001569702,0.0002517409,0.0006644248,0.000510689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005115082,"about_ca_system_score_gemma":0.0001671638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003668271,"about_ca_topic_score_gemma":0.000620626,"domain_scores_codex":[0.99991,0.00001926527,0.000003996657,0.00001568093,0.00002204874,0.00002896591],"domain_scores_gemma":[0.999971,0.000005821327,0.000005402487,0.000002665427,0.000006248029,0.000008904969],"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":[0.0001686466,0.0001082355,0.0002186839,0.0001624767,0.00001913439,0.0001391485,0.00003780423,0.001233047,0.9778507,0.0006521257,0.0004819086,0.01892809],"study_design_scores_gemma":[0.0001147749,0.0009964289,0.001212354,0.00003820176,0.00005556256,0.0007527219,0.00002615754,0.003392087,0.9537657,0.0002760728,0.03935784,0.00001211745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153557,0.03554118,0.03529946,0.0007142324,0.0001893955,0.0005049048,0.0008224022,0.000410245,0.01116245],"genre_scores_gemma":[0.9708944,0.0104499,0.01097338,0.0004366198,0.00003989112,0.0001660899,0.0009727827,0.00003724845,0.006029716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133485,"threshold_uncertainty_score":0.00446552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425502887681392,"score_gpt":0.2791927828760288,"score_spread":0.2649377539992149,"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."}}