{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004825364,0.0003306589,0.0004406947,0.0007553264,0.0004243804,0.00110048,0.0003292789,0.0006077636,0.001906674],"category_scores_gemma":[0.00233566,0.0001734012,0.000223973,0.0004006162,0.0002443705,0.0005241176,0.0002324542,0.0006510259,0.0004881639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216002,"about_ca_system_score_gemma":0.0005435608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008996774,"about_ca_topic_score_gemma":0.00162285,"domain_scores_codex":[0.9996879,0.00007547075,0.0000345529,0.00004384021,0.0001013197,0.00005698233],"domain_scores_gemma":[0.9993545,0.0003034293,0.00009111895,0.00002016395,0.0001482753,0.00008239207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002123177,0.0002576752,0.7942034,0.0003052534,0.00008587024,0.003082809,0.0003190226,0.0003849828,0.02000355,0.0005434604,0.007857823,0.170833],"study_design_scores_gemma":[0.0004590842,0.004932214,0.8114587,0.0006331659,0.0009320643,0.0347889,0.002402548,0.02045401,0.07700056,0.002865508,0.04399909,0.00007407851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94625,0.03244465,0.004081664,0.003530105,0.0006666558,0.0001918457,0.0007028669,0.0002805165,0.01185176],"genre_scores_gemma":[0.9921609,0.00226183,0.002821929,0.0008378421,0.0002967476,0.00005002494,0.0002885741,0.00001599686,0.001266125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001906674,"threshold_uncertainty_score":0.006378412,"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."}}