{"id":"W2044512951","doi":"10.1158/0008-5472.sabcs10-p3-10-35","title":"Abstract P3-10-35: Using Automated Image Analysis To Validate Ki67 as a Clinical Prognostic Biomarker for Estrogen-Receptor Positive Breast Cancers","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Tissue microarray; Immunohistochemistry; Medicine; Estrogen receptor; Oncology; Progesterone receptor; Internal medicine; Tamoxifen; Cancer; Biomarker; Pathology; Estrogen; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002491779,0.0004400071,0.0003178841,0.001833617,0.0002792282,0.0008835559,0.0006195649,0.0002927852,0.005742977],"category_scores_gemma":[0.003090467,0.0002189574,0.0003182155,0.001096901,0.0004312213,0.0004460074,0.0003721692,0.0003089731,0.001678934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006961448,"about_ca_system_score_gemma":0.000664732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002433879,"about_ca_topic_score_gemma":0.002478198,"domain_scores_codex":[0.9988336,0.0002773728,0.00009827873,0.0002083889,0.0005241722,0.00005829623],"domain_scores_gemma":[0.9975555,0.0005621203,0.0003339982,0.0001865099,0.00128507,0.00007678947],"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":[0.004023678,0.0005547253,0.1578852,0.0004862491,0.0002510415,0.0002564948,0.0002086795,0.005565903,0.622314,0.0008353757,0.006890566,0.2007281],"study_design_scores_gemma":[0.0002225161,0.001339094,0.5069994,0.00004700138,0.0001708919,0.001251806,0.0001484404,0.1080042,0.3751483,0.0005530682,0.006036294,0.00007908647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957182,0.0006175388,0.08904533,0.0001560705,0.00008638947,0.0008010736,0.002865992,0.003277905,0.007431439],"genre_scores_gemma":[0.8709874,0.0001516358,0.1220693,0.00005935358,0.00003132422,0.0005823159,0.002887903,0.0002698099,0.002960979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005742977,"threshold_uncertainty_score":0.01921213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07385166877567328,"score_gpt":0.4817823388977844,"score_spread":0.4079306701221111,"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."}}