{"id":"W3014340706","doi":"10.1117/12.2557775","title":"Circulating cancer cell detection using an optical fiber aptasensor","year":2020,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Circulating tumor cell; Aptamer; Cancer cell; Materials science; Mammaglobin; Cancer; Cancer detection; Biosensor; Optical fiber; Biomedical engineering; Metastasis; Colloidal gold; Breast cancer; Cancer research; Nanotechnology; Nanoparticle; Molecular biology; Medicine; Optics; Biology; 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":[0.0002666062,0.0004632039,0.000246795,0.0002981943,0.0001316303,0.0002801821,0.0004047604,0.0005171628,0.0005597363],"category_scores_gemma":[0.0002742538,0.0001928668,0.0001856193,0.0001421423,0.0001780174,0.0002685947,0.0001981147,0.000279666,0.0004000781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072966,"about_ca_system_score_gemma":0.0001849249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008183062,"about_ca_topic_score_gemma":0.00130455,"domain_scores_codex":[0.9997705,0.00003417408,0.0000133735,0.00008421479,0.00006948857,0.00002836643],"domain_scores_gemma":[0.9998491,0.00003687827,0.00003760423,0.00001071626,0.00004502685,0.00002067997],"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":[0.00002276066,0.00001040413,0.0001170846,0.00002855354,0.000003123527,0.0000214796,0.00001068459,0.00009389403,0.9975638,0.00005041281,0.00003067704,0.002047235],"study_design_scores_gemma":[0.000004221111,0.0001141081,0.000505084,0.000002643114,0.000007608621,0.0001613598,0.000007400639,0.002696076,0.9954364,0.00003083524,0.001028956,0.000005221859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565429,0.004704837,0.1325829,0.0004271069,0.000147945,0.0001550925,0.0003126772,0.0008551948,0.004271405],"genre_scores_gemma":[0.8643938,0.001979988,0.1267778,0.000312264,0.00005742183,0.00009908166,0.0002288298,0.00003798962,0.00611282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008183062,"threshold_uncertainty_score":0.002955139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377483716441101,"score_gpt":0.2452695731426837,"score_spread":0.2114947359782727,"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."}}