{"id":"W2789482226","doi":"10.2147/ijn.s157154","title":"Polymer nanofiber-based microchips for EGFR mutation analysis of circulating tumor cells in lung adenocarcinoma","year":2018,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Circulating tumor cell; Microdissection; Laser capture microdissection; Liquid biopsy; Nanofiber; Epidermal growth factor receptor; Cancer research; PLGA; Adenocarcinoma; Lung cancer; Materials science; Pathology; Biomedical engineering; Cancer; Medicine; Biology; Internal medicine; Metastasis; Nanotechnology; Gene; Nanoparticle","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000569285,0.0001263256,0.0005770301,0.001573699,0.00002097962,0.00000957782,0.0001703867,0.00004356593,0.0002964953],"category_scores_gemma":[0.0001268403,0.0001041221,0.0003370541,0.0006410406,0.0001098902,0.00008029332,0.00001615861,0.0001137465,0.000001257731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518203,"about_ca_system_score_gemma":0.0002916381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281985,"about_ca_topic_score_gemma":0.00004774729,"domain_scores_codex":[0.9981153,0.00003214171,0.0009448404,0.0001590988,0.0005842484,0.0001643578],"domain_scores_gemma":[0.9977003,0.0001948626,0.000793942,0.0001210865,0.001082176,0.0001075889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002641187,0.0004592332,0.09937049,0.0001749931,0.003227818,0.000400033,0.001186114,0.000346779,0.8806057,0.00007765444,0.0009346459,0.01057533],"study_design_scores_gemma":[0.01636894,0.002097001,0.1806056,0.001396135,0.005157327,0.0004789515,0.0007909908,0.01281446,0.7772222,0.00006427937,0.00273848,0.0002655627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860111,0.001592399,0.009262898,0.001778161,0.0009383653,0.0001901611,0.00006417723,0.000004339326,0.000158414],"genre_scores_gemma":[0.9943486,0.00002154324,0.003850223,0.0007782331,0.000831563,0.0000041563,0.00004869813,0.00001652999,0.0001004927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033835,"threshold_uncertainty_score":0.4245978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734594571184424,"score_gpt":0.31741859458894,"score_spread":0.3000726488770957,"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."}}