{"id":"W4361943599","doi":"10.1158/1078-0432.c.6518292","title":"Data from Application of Oligonucleotide Microarrays to Assess the Biological Effects of Neoadjuvant Imatinib Mesylate Treatment for Localized Prostate Cancer","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"National Institutes of Health; Damon Runyon Cancer Research Foundation; Prostate Cancer Foundation","keywords":"Imatinib mesylate; Prostate cancer; Tissue microarray; Medicine; Cancer; Cancer research; Immunohistochemistry; Gene expression; Prostate; Laser capture microdissection; Stromal cell; Pathology; Imatinib; Biology; Internal medicine; Gene","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":[0.0003040478,0.0002539038,0.0003439106,0.0003508058,0.0002450775,0.0002309027,0.00009076596,0.0002786809,0.002062636],"category_scores_gemma":[0.0005781344,0.0001202613,0.0001859493,0.0004922703,0.0001659179,0.00009501949,0.0001172658,0.0003363568,0.0004483274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889401,"about_ca_system_score_gemma":0.0002292128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009506805,"about_ca_topic_score_gemma":0.002145634,"domain_scores_codex":[0.9995714,0.0001045106,0.00004036861,0.00009265273,0.0001431497,0.00004789212],"domain_scores_gemma":[0.9996196,0.0001616103,0.00005787847,0.0000444717,0.00008170382,0.00003457869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003675317,0.0002884291,0.0525617,0.0002773745,0.0001750404,0.0001777416,0.0001418651,0.001258896,0.9150628,0.00008820968,0.002149446,0.02414309],"study_design_scores_gemma":[0.0001529677,0.003216976,0.5674874,0.00002696478,0.0003677616,0.001399068,0.0002709725,0.003615343,0.4077801,0.0001725826,0.01546232,0.00004764293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9776713,0.001801091,0.005319502,0.0002719454,0.00006074343,0.0001600423,0.01118546,0.0001284808,0.003401475],"genre_scores_gemma":[0.9767501,0.0007925497,0.005353975,0.000253261,0.00002569329,0.0005067691,0.01475583,0.00001807966,0.00154378],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002062636,"threshold_uncertainty_score":0.006900251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442071048904374,"score_gpt":0.4006593373683688,"score_spread":0.2564522324779314,"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."}}