{"id":"W2179107360","doi":"10.1038/srep13967","title":"Real-time Detection of Breast Cancer Cells Using Peptide-functionalized Microcantilever Arrays","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Circulating tumor cell; Cancer cell; Peptide; Breast cancer; Cancer; Cancer research; Metastatic breast cancer; Chemistry; Materials science; Biomedical engineering; Medicine; Biochemistry; Metastasis; Internal medicine","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":[0.0002948944,0.0003264775,0.0004061183,0.0003011964,0.0001186077,0.0003451624,0.000453579,0.0008280894,0.0007556515],"category_scores_gemma":[0.0004578082,0.0002352459,0.0001581683,0.0002441495,0.0001850413,0.0002987489,0.0002316855,0.0003960349,0.0004223573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316423,"about_ca_system_score_gemma":0.0001229894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003549854,"about_ca_topic_score_gemma":0.0008301598,"domain_scores_codex":[0.9995462,0.00008164097,0.000019982,0.0001265131,0.000176153,0.00004944998],"domain_scores_gemma":[0.999787,0.0001038019,0.0000337755,0.00001389191,0.00004283036,0.00001874106],"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":[0.00002595549,0.00001024426,0.0001015578,0.00002023867,0.000003496394,0.0000252368,0.00001834726,0.000163046,0.996101,0.00004289761,0.00007536674,0.003412667],"study_design_scores_gemma":[0.000009310133,0.0001760762,0.001371923,0.000004072053,0.00001140196,0.0001204555,0.00002074242,0.009287741,0.9870484,0.00005592694,0.0018821,0.00001183572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531874,0.006245883,0.1328021,0.0005624628,0.0002224447,0.0001635356,0.0005914996,0.001666867,0.004557713],"genre_scores_gemma":[0.8189217,0.003067262,0.1710821,0.0005837295,0.0001002248,0.0002758735,0.0004659127,0.00005148861,0.005451634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008280894,"threshold_uncertainty_score":0.002527833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802167795248617,"score_gpt":0.2214618308211785,"score_spread":0.2034401528686923,"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."}}