{"id":"W2561518335","doi":"10.1158/1557-3125.advbc-a124","title":"Abstract A124: Characterization of claudin-low breast cancers","year":2013,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Breast cancer; Tissue microarray; Immunohistochemistry; Cancer research; Claudin; Pathology; Cancer; Gene expression profiling; Lymph node; Biology; Gene expression; Medicine; Gene; Internal medicine","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":[0.0001470803,0.0001450148,0.0002612785,0.001227744,0.0003558782,0.0004791084,0.0001940801,0.0001960164,0.001731522],"category_scores_gemma":[0.0003445783,0.00006802432,0.0002107972,0.001462952,0.000121196,0.0001290686,0.0001510588,0.0002599206,0.0005077726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794091,"about_ca_system_score_gemma":0.0002541358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330612,"about_ca_topic_score_gemma":0.00129262,"domain_scores_codex":[0.9998404,0.00001350907,0.00001511358,0.00004221736,0.00005037159,0.00003834517],"domain_scores_gemma":[0.9998047,0.00003852414,0.00004580561,0.00001781582,0.00005004973,0.00004316001],"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":[0.0004718168,0.00007309841,0.0531163,0.0001485049,0.0000268432,0.000226889,0.00007264966,0.0001927325,0.937476,0.0001211416,0.0007236708,0.007350375],"study_design_scores_gemma":[0.00003281714,0.0005200077,0.7629597,0.0000164353,0.00009192224,0.002348216,0.0002717955,0.002097968,0.2185849,0.0001997383,0.01285957,0.00001687039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903721,0.0008089094,0.001193996,0.00009276952,0.00001205449,0.00005343277,0.0063603,0.00004931902,0.001057158],"genre_scores_gemma":[0.9743329,0.0006438703,0.004119007,0.00008854648,0.00002830391,0.0001095968,0.0189451,0.00002167678,0.001710939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001731522,"threshold_uncertainty_score":0.005792499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113060760072524,"score_gpt":0.3654623241497914,"score_spread":0.3443317165490661,"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."}}