{"id":"W3177060570","doi":"10.1088/1742-6596/1948/1/012149","title":"Application of biosensors based on nanomaterials in cancer cell detection","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biosensor; Cancer detection; Nanotechnology; Cancer; Cancer cell; Nanomaterials; Materials science; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004123826,0.0007849681,0.0004332237,0.000586019,0.0002195559,0.0004746061,0.0006430234,0.00114479,0.0008178646],"category_scores_gemma":[0.0003088376,0.0003328149,0.0005011318,0.0004054363,0.0002617597,0.0006182339,0.0004235356,0.0006118296,0.000633653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003796038,"about_ca_system_score_gemma":0.0001699497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002821831,"about_ca_topic_score_gemma":0.0003271945,"domain_scores_codex":[0.9996417,0.00006850944,0.00001648032,0.0000855391,0.0001574213,0.00003041561],"domain_scores_gemma":[0.9999079,0.00002934359,0.00001307016,0.000005507118,0.0000382479,0.000005877669],"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":[0.00003198172,0.00003604763,0.0002042409,0.0009509752,0.00003674613,0.0001779322,0.00004935455,0.0004290303,0.9618204,0.001968074,0.001482599,0.03281267],"study_design_scores_gemma":[0.000004506086,0.0002406604,0.0007693915,0.000075962,0.00004475962,0.0006015715,0.00004483905,0.004132967,0.9489504,0.0007844763,0.04432511,0.00002527503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2032626,0.4208905,0.3262678,0.003043061,0.004428846,0.0004367862,0.0004839351,0.001929421,0.03925698],"genre_scores_gemma":[0.5888261,0.1928962,0.1889529,0.001891791,0.0006939439,0.0003341585,0.0004578084,0.0001007678,0.02584623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00114479,"threshold_uncertainty_score":0.002754271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124100450067133,"score_gpt":0.26970473396591,"score_spread":0.2584637294652387,"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."}}