{"id":"W2075664235","doi":"10.1038/modpathol.2015.38","title":"An international study to increase concordance in Ki67 scoring","year":2015,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":216,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Juravinski Hospital; McMaster University; Ontario Institute for Cancer Research; University of British Columbia","funders":"National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Government of Ontario; Breast Cancer Research Foundation; Pfizer; Ontario Institute for Cancer Research; Cure Brain Cancer Foundation; Eli Lilly and Company","keywords":"Concordance; Medicine; Pathology; Medical physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02033327,0.0004244171,0.0006464484,0.003234167,0.001443465,0.001504025,0.00067967,0.0005993399,0.004350293],"category_scores_gemma":[0.04052474,0.0003248001,0.0006692315,0.004395545,0.0008666022,0.001319199,0.001890347,0.0007588088,0.0006350399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00084076,"about_ca_system_score_gemma":0.002230182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177705,"about_ca_topic_score_gemma":0.006382714,"domain_scores_codex":[0.9864335,0.007684824,0.002518952,0.00113089,0.001701107,0.0005307435],"domain_scores_gemma":[0.9586185,0.01530946,0.004808368,0.004255105,0.01569076,0.00131775],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001092476,0.0004736739,0.9237244,0.001423922,0.000669304,0.0006012098,0.007071297,0.00007467566,0.002838196,0.001374516,0.002675432,0.05798095],"study_design_scores_gemma":[0.0003656717,0.001205689,0.9425324,0.001572154,0.002316385,0.002685588,0.008310785,0.0004113732,0.00483671,0.0008151085,0.03489758,0.0000505206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938448,0.008985361,0.006834513,0.001953857,0.0006978033,0.001040737,0.00114988,0.00005928907,0.04083055],"genre_scores_gemma":[0.9910953,0.001388121,0.004343254,0.0005700335,0.0001680086,0.0003486288,0.0006581686,0.00003563811,0.001392894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9796667,"threshold_uncertainty_score":0.1075339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06074518772564819,"score_gpt":0.3665788414255386,"score_spread":0.3058336536998905,"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."}}