{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004909729,0.0001365393,0.0001930931,0.000184917,0.00009137564,0.00005926547,0.00007815134,0.0001094457,0.0001118613],"category_scores_gemma":[0.00002019346,0.0001244055,0.00007028672,0.000428378,0.0002082115,0.0001250675,0.00004338052,0.00008010518,0.00001997611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575686,"about_ca_system_score_gemma":0.0001157415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003146732,"about_ca_topic_score_gemma":0.00001180983,"domain_scores_codex":[0.9987762,0.00001339385,0.0003682705,0.0003243582,0.0002894695,0.0002283159],"domain_scores_gemma":[0.9991071,0.000008204383,0.0001413937,0.0004385976,0.0002375579,0.00006716613],"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":[0.000006904671,0.0000111708,0.0001896003,0.00002245712,0.00001751107,0.00002358017,0.00006087984,0.001539723,0.9718612,0.000001058528,0.02504406,0.001221842],"study_design_scores_gemma":[0.00009496784,0.000005992954,0.0002139117,0.00005301819,0.00002698468,0.0003519338,0.00007236002,0.004293997,0.9845993,0.0003913357,0.009741904,0.00015432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893371,0.0002785495,0.003210683,0.00001455485,0.005944255,0.0001261546,0.0000133316,0.0004511677,0.0006241762],"genre_scores_gemma":[0.9963679,0.00003755289,0.002090841,0.000002479411,0.00006937132,0.00000306831,0.000009668011,0.000023851,0.001395272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01530215,"threshold_uncertainty_score":0.507311,"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."}}