{"id":"W7127556832","doi":"","title":"Construction of a Tissue Microarray for Validation of EphA2 Receptor as a Prostate Cancer Biomarker","year":2019,"lang":"en","type":"other","venue":"Research Explorer (The University of Manchester)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Prostate cancer; EPH receptor A2; Tissue microarray; Biomarker; Prostate; Cancer; PCA3; Cancer biomarkers","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":[0.001772851,0.0004886476,0.0007831432,0.001378223,0.0005767717,0.0005887117,0.0007370647,0.000590921,0.003352928],"category_scores_gemma":[0.001297189,0.000444496,0.0007318252,0.0009337536,0.0002881226,0.0004114096,0.0006789284,0.000795108,0.002516956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143392,"about_ca_system_score_gemma":0.0005921617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006308994,"about_ca_topic_score_gemma":0.001052878,"domain_scores_codex":[0.9977715,0.0004588662,0.0002532443,0.0005030534,0.0008168786,0.0001964546],"domain_scores_gemma":[0.9985973,0.0003088918,0.0001717714,0.0002760593,0.0005634517,0.00008256678],"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":[0.0003027889,0.0001322748,0.004463222,0.0001917489,0.00003436699,0.0001701412,0.00007156134,0.0005486644,0.9849985,0.0001560184,0.0005556127,0.008374914],"study_design_scores_gemma":[0.00009556568,0.002751854,0.07299016,0.00009118506,0.0002146784,0.001975854,0.000270809,0.01194678,0.8792883,0.0003374618,0.02997663,0.00006075335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6467075,0.003374774,0.3109067,0.000803186,0.0005157277,0.006275166,0.01826584,0.002397011,0.01075413],"genre_scores_gemma":[0.4421482,0.002886653,0.4866485,0.0007079525,0.0001824604,0.01522573,0.04116767,0.0002178911,0.0108148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003352928,"threshold_uncertainty_score":0.0112167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07476231033368594,"score_gpt":0.3374318842841827,"score_spread":0.2626695739504967,"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."}}