{"id":"W4405220975","doi":"10.1093/radadv/umae032","title":"Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population","year":2024,"lang":"en","type":"article","venue":"Radiology Advances","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Asymptomatic; Lung cancer; Cancer; Radiography; Radiology; Cancer screening; Population; Internal medicine","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":[0.004907617,0.000289886,0.000268196,0.001224544,0.000162755,0.0008220753,0.0004348435,0.0004130928,0.0008275649],"category_scores_gemma":[0.02257166,0.000162849,0.0003909015,0.0006408688,0.0003788945,0.0004750592,0.0004753921,0.0002945676,0.0002258511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321518,"about_ca_system_score_gemma":0.0003275877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008108442,"about_ca_topic_score_gemma":0.001105219,"domain_scores_codex":[0.9965383,0.002047213,0.0003413539,0.0004252048,0.0005636111,0.00008449302],"domain_scores_gemma":[0.981752,0.01241762,0.002882231,0.001011865,0.001612063,0.0003242623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008730123,0.0001890212,0.9664266,0.00008368064,0.0001564018,0.0001288181,0.000158415,0.00111268,0.001301043,0.00009465164,0.0004459355,0.02902978],"study_design_scores_gemma":[0.0002065815,0.004688537,0.9530226,0.00008660552,0.0004297442,0.001711725,0.0003729535,0.03026844,0.00705782,0.000453277,0.001664584,0.0000370635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960834,0.0003399777,0.002344953,0.00005720243,0.0000123644,0.00004998952,0.0001546833,0.0000656684,0.0008917165],"genre_scores_gemma":[0.9968904,0.00006905453,0.002652285,0.0000295075,0.00001465526,0.00003782809,0.0001432192,0.000006640451,0.0001563424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004907617,"threshold_uncertainty_score":0.02595431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288163712931585,"score_gpt":0.3835193661537274,"score_spread":0.3506377290244115,"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."}}