{"id":"W4416780899","doi":"10.1016/j.esmorw.2025.100537","title":"341P Artificial intelligence-supported early detection of lung cancer from chest x-ray in routine clinical practice: Real-world, multicenter study across Czech hospitals","year":2025,"lang":"en","type":"article","venue":"ESMO Real World Data and Digital Oncology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Czech; Multicenter study; Lung cancer; Cancer; MEDLINE","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":[0.004205833,0.0004079199,0.0005485485,0.001444014,0.0004546151,0.001356922,0.0007777316,0.0005960629,0.002112698],"category_scores_gemma":[0.0140347,0.0003661231,0.0009362088,0.001182929,0.0005721333,0.0006162364,0.001306038,0.0004397882,0.0004909381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543056,"about_ca_system_score_gemma":0.001982873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472726,"about_ca_topic_score_gemma":0.01464044,"domain_scores_codex":[0.9972755,0.00112424,0.0003158993,0.0006098277,0.0003910121,0.00028355],"domain_scores_gemma":[0.992236,0.003559555,0.001276965,0.0008252483,0.001390071,0.0007122057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002011667,0.0009079613,0.9636847,0.0004719416,0.0003479455,0.0003445542,0.0008434293,0.003805535,0.001050606,0.00007073028,0.001000773,0.02546019],"study_design_scores_gemma":[0.0001575528,0.0008511822,0.989682,0.00005820647,0.0001235974,0.0002312248,0.0009063579,0.006775365,0.0004241122,0.0000473473,0.0007015513,0.0000416271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973384,0.0002292064,0.0005751295,0.00006955561,0.000009233106,0.0001400055,0.001157138,0.00003968239,0.0004416971],"genre_scores_gemma":[0.9978612,0.00008878596,0.0006065177,0.0000301969,0.000009129425,0.00007822156,0.001207911,0.000008093338,0.0001099316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02472726,"threshold_uncertainty_score":0.04916668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08352966716624122,"score_gpt":0.4882852741895204,"score_spread":0.4047556070232792,"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."}}