{"id":"W4294001434","doi":"10.1001/jamaoncol.2022.4267","title":"Errors in Abstract and Affiliations","year":2022,"lang":"en","type":"erratum","venue":"JAMA Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Government of Ontario; Pfizer","keywords":"Medicine; George (robot); Gerontology; Art history; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.01317366,0.001808023,0.003022041,0.004515113,0.004933636,0.005833931,0.003977716,0.007461014,0.1762653],"category_scores_gemma":[0.2260775,0.001198472,0.002066019,0.005973095,0.002271444,0.00403157,0.003681866,0.01243008,0.1685564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006238367,"about_ca_system_score_gemma":0.009087287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007879159,"about_ca_topic_score_gemma":0.006671747,"domain_scores_codex":[0.9763309,0.004528962,0.005291486,0.002134585,0.01021777,0.001496257],"domain_scores_gemma":[0.8680196,0.03555338,0.008188862,0.00904884,0.07563427,0.003554981],"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":[0.00002519218,0.000003428544,0.0000406915,0.00007844008,0.000004247473,0.00005529897,0.00002810305,0.00002040647,0.00001368349,0.0009978845,0.9954016,0.003330996],"study_design_scores_gemma":[0.00004141907,0.000008890778,0.0001922175,0.0004546066,0.00001448573,0.0002086032,0.0001112007,0.0001012323,0.000175728,0.002419829,0.9962488,0.00002302464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001249211,0.001065722,0.001499769,0.1314833,0.8424078,0.0002065753,0.004487285,0.0007443788,0.0179802],"genre_scores_gemma":[0.0156059,0.007500615,0.009305979,0.2681537,0.3050343,0.002341395,0.00967402,0.004366613,0.3780175],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1762653,"threshold_uncertainty_score":0.5896661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248534637367638,"score_gpt":0.3429922189832963,"score_spread":0.32050687260962,"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."}}