{"id":"W2333880842","doi":"10.1021/ac402082s","title":"Quantum Dot Based Fluorometric Detection of Cancer TF-Antigen","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Chemistry; Bioassay; Peanut agglutinin; Antigen; Magnetic bead; Fluorescence; Quantum dot; Detection limit; Chromatography; Molecular biology; Biochemistry; Nanotechnology; Lectin; Immunology","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":[0.0004762332,0.0004254603,0.0003971336,0.0004148724,0.0002057897,0.0004635259,0.0007100076,0.001207263,0.001077418],"category_scores_gemma":[0.0005164305,0.000200596,0.0002180048,0.0003663895,0.0004035869,0.000382943,0.0003117102,0.0005256131,0.0005582242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000788249,"about_ca_system_score_gemma":0.0002460995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009171291,"about_ca_topic_score_gemma":0.001134003,"domain_scores_codex":[0.9994842,0.0001032354,0.00002244964,0.0001598643,0.000164134,0.00006615794],"domain_scores_gemma":[0.9998129,0.00007361591,0.0000290133,0.00001254464,0.00004857735,0.00002337924],"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":[0.00003218881,0.00002415403,0.0001923638,0.00005044687,0.000005062873,0.00001965062,0.000009842193,0.000128169,0.9970019,0.0001841183,0.0001163101,0.002235641],"study_design_scores_gemma":[0.000006163463,0.0001081371,0.0006340165,0.00000355187,0.000007970123,0.000101408,0.000009877368,0.00319442,0.9946683,0.00007455143,0.001184652,0.000006903358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088814,0.00579991,0.2735616,0.0005761244,0.0002000135,0.0002790436,0.0008929628,0.00146126,0.008347741],"genre_scores_gemma":[0.805319,0.003691923,0.1810276,0.0004459218,0.00005762713,0.0003144488,0.0008132819,0.00004863431,0.008281673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001207263,"threshold_uncertainty_score":0.005719125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009760209993291582,"score_gpt":0.2781354155154863,"score_spread":0.2683752055221947,"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."}}