{"id":"W2003069503","doi":"10.1097/jto.0000000000000235","title":"Circulating Tumor Microemboli Diagnostics for Patients with Non–Small-Cell Lung Cancer","year":2014,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"National Center for Research Resources; University of California, San Diego; National Cancer Institute; National Institutes of Health; Vetenskapsrådet; Université de Sherbrooke; Thailand Science Research and Innovation; National Center for Advancing Translational Sciences; Canary Foundation; LUNGevity Foundation","keywords":"Medicine; Lung cancer; Stage (stratigraphy); Receiver operating characteristic; Cancer; Internal medicine; Circulating tumor cell; Cytokeratin; Phlebotomy; Oncology; Radiology; Area under the curve; Pathology; Metastasis; Immunohistochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901234,0.0001632435,0.0006156904,0.0001095018,0.00007418603,0.00001471077,0.00009423102,0.0000830331,0.00003930545],"category_scores_gemma":[0.0001606932,0.0001090439,0.0001495638,0.00009264895,0.0000381569,0.00005486522,0.00002346771,0.0002079909,0.000002324437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007908583,"about_ca_system_score_gemma":0.0004876244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002422206,"about_ca_topic_score_gemma":0.00003943777,"domain_scores_codex":[0.9988502,0.00005647948,0.000453024,0.0001676797,0.0001947557,0.0002778166],"domain_scores_gemma":[0.9978501,0.0005286723,0.0006907664,0.0001526201,0.000582232,0.0001956359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001357205,0.001923606,0.931586,0.0007055294,0.0004755132,0.0001786392,0.0003888269,0.0001705236,0.0002427515,0.00001237191,0.008184149,0.05477483],"study_design_scores_gemma":[0.02247528,0.02303878,0.8668064,0.003211415,0.009260007,0.0006015932,0.0002604337,0.001828017,0.008558589,0.0001421658,0.06322984,0.0005874441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994238,0.0007932554,0.001246583,0.001642125,0.0007168375,0.0006391635,0.00001434084,0.000007603178,0.0007021197],"genre_scores_gemma":[0.9862794,0.0001921024,0.01140997,0.001152484,0.0007631036,0.00007416123,0.00000788293,0.00003494907,0.00008592577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06477963,"threshold_uncertainty_score":0.4446682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194024365796291,"score_gpt":0.3634783727508102,"score_spread":0.3515381290928473,"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."}}