{"id":"W2594264017","doi":"10.1158/1538-7445.sabcs16-p2-05-33","title":"Abstract P2-05-33: Refining the prognostic value of Ki67 biomarker by ataxia telangiectasia mutated (ATM) status in a retrospective study of early stage hormone receptor positive breast cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Medicine; Breast cancer; Stage (stratigraphy); Oncology; Immunohistochemistry; Internal medicine; Lymph node; Cancer; Tissue microarray; Biomarker; Survival analysis; Ataxia-telangiectasia; 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":[0.0006968181,0.0002177225,0.000224247,0.0006467106,0.000255365,0.0003834767,0.0003155638,0.000260982,0.0009110303],"category_scores_gemma":[0.001127651,0.0001533567,0.0002414737,0.0006529205,0.0001865245,0.0002444639,0.0002534063,0.0002334012,0.000251494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164648,"about_ca_system_score_gemma":0.0001825223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364578,"about_ca_topic_score_gemma":0.002099432,"domain_scores_codex":[0.9997138,0.00009416552,0.00003713089,0.00006955631,0.00004529656,0.00003993559],"domain_scores_gemma":[0.9993309,0.0001694471,0.0002216846,0.00005291278,0.00009691038,0.0001282055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399776,0.00001075082,0.9985366,0.000004916735,0.00001469068,0.00006768282,0.00001793503,0.0000182058,0.0006942099,0.000003071801,0.0000227751,0.0004691951],"study_design_scores_gemma":[0.000004754776,0.00009707919,0.9988793,0.000001860442,0.00002525085,0.0003905926,0.00007003791,0.0001523427,0.0002589771,0.000008231295,0.0001099811,0.000001568829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996612,0.00008335705,0.00006799019,0.000006970547,0.000001513976,0.000003604339,0.00009413775,9.2867e-7,0.00008035152],"genre_scores_gemma":[0.9997534,0.00002005216,0.00004954786,0.000005305278,0.000003469108,0.000003632007,0.0001135413,7.488612e-7,0.00005033407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001364578,"threshold_uncertainty_score":0.003685176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04851402906208629,"score_gpt":0.3850064021910685,"score_spread":0.3364923731289822,"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."}}