{"id":"W2599552753","doi":"10.1021/acsami.6b15989","title":"Magnetic Printing of a Biosensor: Inexpensive Rapid Sensing To Detect Picomolar Amounts of Antigen with Antibody-Functionalized Carbon Nanotubes","year":2017,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biosensor; Materials science; Carbon nanotube; Nanotechnology; Magnetic nanoparticles; Current (fluid); Nanoparticle; Surface modification; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000347242,0.0004188101,0.00028221,0.000609902,0.000248762,0.0003795475,0.0007350414,0.0007386791,0.001453733],"category_scores_gemma":[0.0006663025,0.0003194517,0.0002442172,0.0002528269,0.0003208493,0.0004116146,0.0003157113,0.0006208695,0.000940575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236438,"about_ca_system_score_gemma":0.0001801875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390526,"about_ca_topic_score_gemma":0.0005322006,"domain_scores_codex":[0.999423,0.00005955534,0.00003127226,0.0001344224,0.0003200209,0.00003180164],"domain_scores_gemma":[0.9996266,0.000156775,0.00005581232,0.00004553145,0.00007724308,0.0000380052],"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":[0.00001616062,0.00002007986,0.00008081295,0.00002955994,0.00000267232,0.00003533632,0.000009138119,0.00006284099,0.993589,0.0001484791,0.0001523864,0.00585351],"study_design_scores_gemma":[0.000005858703,0.00006514564,0.0004437254,0.000004710501,0.00000522521,0.0002506158,0.000006269917,0.001875806,0.99475,0.00007502129,0.002511065,0.000006712567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.510024,0.005499521,0.4607491,0.001553061,0.001045648,0.0004661387,0.0007410772,0.004251773,0.01566976],"genre_scores_gemma":[0.6421899,0.001999755,0.3366597,0.0005790725,0.0002105203,0.0003092705,0.0004725604,0.0001891782,0.01738999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001453733,"threshold_uncertainty_score":0.004863203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066549364646815,"score_gpt":0.2254763136866128,"score_spread":0.2148108200401446,"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."}}