{"id":"W2527179630","doi":"10.1136/jclinpath-2016-203947","title":"Regression grading in neoadjuvant treated pancreatic cancer: an interobserver study","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Pathology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Concordance; Grading (engineering); Medicine; Pancreatic cancer; Neoadjuvant therapy; Regression; Regression analysis; Oncology; Internal medicine; Radiology; Cancer; Statistics; Breast cancer; Mathematics","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":[0.004295033,0.0001493065,0.001635541,0.0002647502,0.00003340141,0.000005561063,0.0002015254,0.0002560878,0.0003069079],"category_scores_gemma":[0.003116352,0.00007211138,0.0001976761,0.0001683135,0.0002366746,0.0001437973,0.00006074988,0.000660891,0.00001893153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127554,"about_ca_system_score_gemma":0.0003357866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006187322,"about_ca_topic_score_gemma":0.0001675628,"domain_scores_codex":[0.9957803,0.001467855,0.001856817,0.0002690865,0.000302155,0.0003237615],"domain_scores_gemma":[0.9969932,0.001413309,0.0006531949,0.0003193192,0.0002740647,0.0003468581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002955305,0.001876457,0.9374347,0.00001295314,0.0001138162,0.005259118,0.0002846555,3.600228e-7,0.002371129,0.00001070969,0.0002753355,0.04940547],"study_design_scores_gemma":[0.01167916,0.01163932,0.9740169,0.000711957,0.0002790395,0.0006726732,0.0003354523,0.00006050013,0.00006607427,0.0002944802,0.0001668939,0.00007754339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962679,0.0003277343,0.00008713324,0.002327577,0.0004029442,0.0003111587,0.000002116586,0.00001046095,0.0002630134],"genre_scores_gemma":[0.9967951,0.001208886,0.0006048111,0.0002735267,0.0004573283,0.00001198564,7.254278e-7,0.00001713613,0.0006304785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04932793,"threshold_uncertainty_score":0.3730789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023094290741393,"score_gpt":0.5274663824385557,"score_spread":0.3251569533644164,"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."}}