{"id":"W2076574574","doi":"10.1097/pcr.0b013e31816ddce9","title":"Contributions of Microarray Analysis to Soft Tissue Tumor Diagnosis","year":2008,"lang":"en","type":"article","venue":"Pathology Case Reviews","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Tissue microarray; Microarray; Medicine; DNA microarray; Soft tissue; Medical diagnosis; Pathology; Microarray analysis techniques; Computational biology; Gene expression profiling; Immunostaining; Bioinformatics; Gene expression; Biology; Gene; Immunohistochemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420093,0.0001818182,0.00122661,0.0002718172,0.0001041375,0.000002430746,0.00005522019,0.00006717013,0.0005598394],"category_scores_gemma":[0.000674785,0.0001348366,0.0004329708,0.0008200245,0.0001042578,0.00002087503,0.00003680392,0.00009270902,0.0003839559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007239199,"about_ca_system_score_gemma":0.00004380447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190516,"about_ca_topic_score_gemma":0.00007649639,"domain_scores_codex":[0.9985206,0.0002063233,0.0005952604,0.0003350436,0.00009313212,0.0002496729],"domain_scores_gemma":[0.9986968,0.0002128284,0.0001766605,0.0005561904,0.0001435712,0.0002139575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004671844,0.002442489,0.7475032,0.000173035,0.001193862,0.1489855,0.0007601129,0.000006021585,0.006191164,0.0001233614,0.01457817,0.07799639],"study_design_scores_gemma":[0.002467126,0.0009985314,0.225911,0.0002657409,0.01338951,0.1113048,0.0000732514,0.000009018179,0.06253272,0.00002054328,0.5825669,0.0004607656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.898619,0.09745508,0.0007812491,0.001447955,0.00006729153,0.00118324,0.0001916583,0.00002685032,0.0002276734],"genre_scores_gemma":[0.9775338,0.01635865,0.003464689,0.001474857,0.00005827529,0.0009374898,0.00007109741,0.00001335816,0.00008775538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5679888,"threshold_uncertainty_score":0.6129849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130052499447116,"score_gpt":0.3458810445894632,"score_spread":0.304580519594992,"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."}}