{"id":"W2152286217","doi":"10.1016/j.humpath.2009.01.011","title":"Validation of immature adipogenic status and identification of prognostic biomarkers in myxoid liposarcoma using tissue microarrays","year":2009,"lang":"en","type":"article","venue":"Human Pathology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health Research Institute","funders":"","keywords":"Myxoid liposarcoma; Liposarcoma; Tissue microarray; Pathology; Adipose tissue; Immunohistochemistry; Adipogenesis; Gene expression profiling; Biology; Medicine; Proportional hazards model; Sarcoma; Cancer research; Oncology; Internal medicine; Gene expression; Gene; 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":[0.0001545864,0.00009570205,0.0002670911,0.0002375956,0.00002591625,0.000004461179,0.00003240582,0.00009610311,0.00001638978],"category_scores_gemma":[0.00005295368,0.00008916022,0.00003492763,0.0001473259,0.00008561584,0.00003862215,0.00001216369,0.00005915914,0.00000143449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239016,"about_ca_system_score_gemma":0.00002713735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003285887,"about_ca_topic_score_gemma":0.000009373202,"domain_scores_codex":[0.9991059,0.00007463992,0.000385111,0.0002002554,0.00008385486,0.0001501799],"domain_scores_gemma":[0.999474,0.0000382912,0.0001983341,0.00018889,0.00006133543,0.00003913826],"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":[0.00007681187,0.000409191,0.2649573,0.00005836198,0.00003111329,0.00006396233,0.0004855803,0.000002591386,0.730078,0.0001792698,0.000006333513,0.003651499],"study_design_scores_gemma":[0.0008894338,0.0003235964,0.6986426,0.00006939466,0.0001254817,0.0001070012,0.00006081867,0.00001477243,0.2994339,0.0002798961,0.000007507585,0.00004564617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956836,0.003679443,0.00002721923,0.00009125733,0.00003287561,0.0004218886,0.00001150615,0.000009798632,0.00004248803],"genre_scores_gemma":[0.9990086,0.00008585545,0.0007579687,0.00002231348,0.00001467359,0.000009802331,0.00008608003,0.000008395353,0.00000630837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4336853,"threshold_uncertainty_score":0.3635848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243320930110589,"score_gpt":0.3109547283706803,"score_spread":0.2885215190695744,"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."}}