{"id":"W2410507446","doi":"10.1021/acsami.5b02404","title":"In Situ Electrochemical ELISA for Specific Identification of Captured Cancer Cells","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Circulating tumor cell; Cancer cell; Cancer; Materials science; In situ; Cancer research; Molecular biology; Biology; Metastasis; Medicine; Internal medicine; Chemistry","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":[0.0001661854,0.0001284319,0.0002308161,0.00006724731,0.000009195582,0.00003167249,0.0001791949,0.0001400715,0.00001517311],"category_scores_gemma":[0.000008852255,0.0001185161,0.000008266951,0.00007379419,0.0000520041,0.00004511281,0.00003712039,0.00005169025,0.00001528334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007376247,"about_ca_system_score_gemma":0.00001119033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001553623,"about_ca_topic_score_gemma":0.000008924573,"domain_scores_codex":[0.9992238,0.000005531666,0.0003480978,0.0001627197,0.0000736854,0.0001861254],"domain_scores_gemma":[0.999688,0.00001777825,0.00006875757,0.0001714622,0.00003760468,0.0000163931],"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":[0.00006119582,0.00001328894,0.000001100252,0.00006551258,0.00001211359,2.25179e-7,0.0002079512,0.0000400631,0.9843466,0.0002251216,0.01483915,0.0001876523],"study_design_scores_gemma":[0.0002540376,0.00001218483,0.000006991804,0.00001965768,0.000008493676,6.998134e-7,0.0001985888,0.000002706642,0.9972916,0.001188335,0.0008925596,0.0001241427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996899,0.001090999,0.0008771305,0.00006426579,0.0005044002,0.0002757361,0.00003842086,0.0001321149,0.0001178942],"genre_scores_gemma":[0.9988596,0.0004428371,0.0004825177,0.00001227181,0.00006996265,0.00006375537,0.00001640264,0.00002139825,0.00003129075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394659,"threshold_uncertainty_score":0.4832945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769180344247112,"score_gpt":0.2365242611272631,"score_spread":0.218832457684792,"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."}}