{"id":"W2126491616","doi":"10.1183/09031936.00010111","title":"Nomogram to predict the presence of<i>EGFR</i>activating mutation in lung adenocarcinoma","year":2011,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"National Taiwan University; National Taiwan University Hospital; Dana-Farber Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Medicine; Nomogram; Adenocarcinoma; Lung; Mutation; Oncology; Adenocarcinoma of the lung; Lung cancer; Internal medicine; Cancer research; Genetics; Cancer; Gene","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":[0.000647325,0.0001027305,0.0001383439,0.000161435,0.0001242776,0.00002346317,0.0001476318,0.00001779418,0.00009031664],"category_scores_gemma":[0.0002023287,0.00006726707,0.00006591527,0.0002694732,0.00004763528,0.0001361011,0.00003933021,0.0002741946,0.00001933443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103609,"about_ca_system_score_gemma":0.0001508531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002460065,"about_ca_topic_score_gemma":0.000006889743,"domain_scores_codex":[0.9987642,0.0002727921,0.0003867415,0.0001471599,0.0002441489,0.0001849694],"domain_scores_gemma":[0.9992694,0.0000570415,0.0001842964,0.0002166015,0.00012947,0.0001431821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003820378,0.0003582518,0.911351,0.00006824848,0.000216179,0.001502525,0.02334888,0.0002249904,0.004506098,0.0001518443,0.002953082,0.05493681],"study_design_scores_gemma":[0.001254943,0.0005995394,0.9911678,0.0002712838,0.00007812632,0.0002127202,0.000974597,0.0000609669,0.001646281,0.00001815701,0.003639357,0.00007616304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695251,0.000816311,0.0007552286,0.0001656062,0.0001827361,0.0003971948,0.000003760339,0.00001961259,0.02813447],"genre_scores_gemma":[0.9980639,0.000007988576,0.0009514811,0.0005756108,0.0002165828,0.000008526664,0.000001144308,0.00002536822,0.0001493739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07981681,"threshold_uncertainty_score":0.2743072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384611590508813,"score_gpt":0.3070397475274314,"score_spread":0.2685785884765501,"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."}}