{"id":"W2785517012","doi":"10.2196/medinform.8662","title":"Automated Information Extraction on Treatment and Prognosis for Non–Small Cell Lung Cancer Radiotherapy Patients: Clinical Study","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Topic Modeling","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Data extraction; Lung cancer; Radiation therapy; Information extraction; Recall; Medical physics; Computer science; Oncology; Internal medicine; MEDLINE; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004756253,0.0001683237,0.0002355718,0.0001070887,0.0001407733,0.0001528743,0.0003008858,0.0001599023,0.00001398913],"category_scores_gemma":[0.00006400519,0.0001209037,0.00005002336,0.0001556782,0.00005033213,0.0009582397,0.00006399032,0.000134341,0.000008383199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600269,"about_ca_system_score_gemma":0.0001842677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002612784,"about_ca_topic_score_gemma":0.00001354123,"domain_scores_codex":[0.998291,0.00004145456,0.0008824619,0.000135499,0.0004062669,0.0002433645],"domain_scores_gemma":[0.9988161,0.0001739117,0.0003126151,0.0002910131,0.0001981086,0.0002082109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000939993,0.001764629,0.06152039,0.0001994259,0.0001146189,7.475753e-7,0.03826809,0.00007167695,0.00000175254,0.0001519341,0.00621568,0.891597],"study_design_scores_gemma":[0.003557912,0.00235629,0.009340059,0.0000482226,0.00001831771,0.000001002382,0.0003286029,0.9789883,0.00005821574,0.000005812016,0.005155936,0.0001413495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7313383,0.000007668296,0.2654949,0.0002298838,0.0005649021,0.001929056,0.000005203048,0.0002396375,0.0001905539],"genre_scores_gemma":[0.9304042,0.0001295963,0.06488822,0.002972608,0.0003769052,0.001151088,0.00002325297,0.00001337618,0.00004070895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9789166,"threshold_uncertainty_score":0.4930311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318367729255427,"score_gpt":0.3748708232248038,"score_spread":0.3430340502992611,"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."}}