{"id":"W4235597831","doi":"10.1038/s41379-019-0450-2","title":"Correction to: Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning","year":2020,"lang":"en","type":"erratum","venue":"Modern Pathology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute for Health and Care Research","keywords":"Immunohistochemistry; Internet portal; Keratin; Computer science; Medicine; Artificial intelligence; The Internet; Pathology; World Wide Web","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":[0.008341934,0.002339357,0.002098602,0.004009158,0.003497527,0.005290731,0.004297665,0.008166358,0.05734987],"category_scores_gemma":[0.1548322,0.001439785,0.001891515,0.002622833,0.004614743,0.003247905,0.002995115,0.01543107,0.04542746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004264637,"about_ca_system_score_gemma":0.006944868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005805391,"about_ca_topic_score_gemma":0.007167911,"domain_scores_codex":[0.9828029,0.003167999,0.00336827,0.002232232,0.007312414,0.001116139],"domain_scores_gemma":[0.8962839,0.02658801,0.007331598,0.006194345,0.06007286,0.003529315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000761739,0.000009173918,0.0001893504,0.0002146643,0.00002274346,0.0004585586,0.00008879383,0.00008264254,0.0001528743,0.0008033614,0.987916,0.009985673],"study_design_scores_gemma":[0.00006519372,0.00005472168,0.001051234,0.0008198267,0.0000475141,0.001929429,0.0002381067,0.0005850851,0.000921952,0.002741879,0.9914547,0.00009034479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004310627,0.0009013322,0.001745618,0.05567976,0.9375463,0.00005046494,0.0006745299,0.0006913938,0.002279541],"genre_scores_gemma":[0.0420859,0.00986295,0.01720765,0.1543071,0.5806156,0.0006290893,0.003602574,0.004776564,0.1869126],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05734987,"threshold_uncertainty_score":0.1918544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239004094352945,"score_gpt":0.3033232118312982,"score_spread":0.2794228023960037,"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."}}