{"id":"W3009501977","doi":"10.5858/arpa.2019-0539-oa","title":"Lack of Standardization in the Processing and Reporting of Post-Neoadjuvant Breast Cancer Specimens","year":2020,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Ottawa; Canadian Electricity Association; University of Toronto","funders":"","keywords":"Medicine; Breast cancer; Neoadjuvant therapy; Context (archaeology); Cancer; Standardization; Stage (stratigraphy); Medical physics; Oncology; Radiology; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06530254,0.0004261583,0.0004609454,0.003337399,0.003120241,0.003222547,0.004976326,0.0008748557,0.001872865],"category_scores_gemma":[0.1152209,0.0005022261,0.0003412662,0.004414212,0.004185663,0.001613342,0.002430616,0.001066028,0.0007995744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02025981,"about_ca_system_score_gemma":0.08002061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6605967,"about_ca_topic_score_gemma":0.7412459,"domain_scores_codex":[0.9399645,0.01948838,0.008834301,0.003110145,0.02547424,0.003128445],"domain_scores_gemma":[0.7149552,0.04980227,0.05564408,0.02303294,0.1474833,0.009082165],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005279609,0.0001779841,0.7033017,0.003985038,0.0001286867,0.0004444286,0.01069135,0.001238196,0.01165865,0.001186352,0.02845538,0.2382042],"study_design_scores_gemma":[0.0000474015,0.0003274093,0.9209481,0.002146723,0.00006737503,0.000911619,0.01257128,0.001253757,0.006365753,0.0005135048,0.05473858,0.000108437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8067412,0.02023774,0.04737957,0.0700434,0.001817905,0.009490017,0.007826882,0.001651223,0.03481212],"genre_scores_gemma":[0.9030511,0.005666116,0.07414503,0.009378457,0.0002430706,0.0013212,0.003351123,0.0001950341,0.002648875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9346974,"threshold_uncertainty_score":0.6828043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618702665323741,"score_gpt":0.3196571087968301,"score_spread":0.2934700821435927,"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."}}