{"id":"W2033763396","doi":"10.1158/1538-7445.am2011-2103","title":"Abstract 2103: Reduced Tip60 expression as a predictive biomarker for advanced melanoma and patient outcome","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Melanoma; Medicine; Tissue microarray; Oncology; Proportional hazards model; Biomarker; Cancer; Internal medicine; Survival analysis; Immunohistochemistry; Cancer research; Pathology; Biology","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":[0.0003787366,0.0001866562,0.0002953468,0.0004901425,0.0001644504,0.0003542516,0.0001707102,0.000357625,0.003224307],"category_scores_gemma":[0.0009721025,0.00006967243,0.0002511264,0.0004543527,0.0001309266,0.0001780791,0.0001909125,0.0003332575,0.0006078801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277045,"about_ca_system_score_gemma":0.00008246712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002911113,"about_ca_topic_score_gemma":0.0003452192,"domain_scores_codex":[0.9998764,0.00002718623,0.00001276402,0.00002988273,0.00003437524,0.00001950878],"domain_scores_gemma":[0.9994376,0.0001395919,0.0001793921,0.00003508047,0.00009957669,0.0001086183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00105815,0.0000456737,0.9764273,0.0000419675,0.00007543567,0.0002074878,0.00001945356,0.0002216662,0.01359205,0.00002389679,0.000727074,0.007559928],"study_design_scores_gemma":[0.00001426968,0.000188434,0.9958162,0.000007104708,0.00005280755,0.0006901919,0.00002886493,0.001132212,0.001560549,0.00007219279,0.000432617,0.000004689342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977647,0.0004688622,0.0003121092,0.00005887097,0.00001863976,0.000007602027,0.0007209058,0.00001556769,0.0006326552],"genre_scores_gemma":[0.9988961,0.00006503306,0.000180646,0.00001631667,0.00001998718,0.000006631936,0.0005852747,0.000002384029,0.0002275182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003224307,"threshold_uncertainty_score":0.01078641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07970847481782033,"score_gpt":0.4162391507376293,"score_spread":0.336530675919809,"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."}}