{"id":"W4386784868","doi":"10.1158/1557-3265.aacrahns23-po-040","title":"Abstract PO-040: Comparing digital image analysis with a manual scoring approach for quantification of p63 and BRCA1 protein expression in oropharyngeal squamous cell carcinoma","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tissue microarray; Biomarker; Context (archaeology); Immunohistochemistry; Medicine; Oncology; Digital image analysis; Digital pathology; Digital polymerase chain reaction; Rank correlation; Pathology; Internal medicine; Biology; Gene; Polymerase chain reaction; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005704768,0.0004485314,0.0003802362,0.002744827,0.000336359,0.001245709,0.0007740319,0.0004771206,0.005232963],"category_scores_gemma":[0.006901923,0.0004038473,0.0003450319,0.001449612,0.0007593456,0.0008199062,0.0009070708,0.0004427299,0.0008601369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007014571,"about_ca_system_score_gemma":0.0003578987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116784,"about_ca_topic_score_gemma":0.001543942,"domain_scores_codex":[0.9968605,0.001158675,0.0002411892,0.0006202632,0.0009825432,0.0001368474],"domain_scores_gemma":[0.9959965,0.001549154,0.0006958143,0.000491216,0.001100931,0.0001664466],"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":[0.01120438,0.001038071,0.1261756,0.001568953,0.0005943779,0.0003734432,0.0005725591,0.005674761,0.607105,0.001682447,0.003183943,0.2408264],"study_design_scores_gemma":[0.0002582858,0.004504713,0.5137991,0.0001310946,0.0005214268,0.002572317,0.000916703,0.11149,0.3557962,0.001464232,0.008358597,0.0001871236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816625,0.001512889,0.1052376,0.0001999188,0.0002166845,0.0005907868,0.00149184,0.001725986,0.007361684],"genre_scores_gemma":[0.8541133,0.0004627685,0.1410168,0.0001117991,0.00006028447,0.0006269027,0.001057207,0.0003055615,0.002245438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005704768,"threshold_uncertainty_score":0.03017008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379110691202635,"score_gpt":0.469559632888027,"score_spread":0.3316485637677635,"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."}}