{"id":"W2070154156","doi":"10.1007/s00216-002-1478-5","title":"Diffraction-based assay for detecting multiple analytes","year":2002,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Analyte; Diffraction; Substrate (aquarium); Molecule; Chemistry; Analytical Chemistry (journal); Nanotechnology; Chromatography; Materials science; Optics; Physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370285,0.0001981233,0.0001993302,0.00002447948,0.0001769109,0.00004463379,0.0001189513,0.0002163469,0.00006268336],"category_scores_gemma":[0.0006296461,0.0001715561,0.0001803299,0.0001506548,0.0002212697,0.000004378513,0.0000566308,0.0001330853,0.000004403229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000164549,"about_ca_system_score_gemma":0.00001267915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004862477,"about_ca_topic_score_gemma":0.000004612527,"domain_scores_codex":[0.9987998,0.0000128942,0.0002524687,0.0005042683,0.0001183085,0.0003122845],"domain_scores_gemma":[0.9991404,0.0001736991,0.00006583504,0.000311789,0.0001088408,0.0001994772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001564024,0.0005550535,0.008093791,0.0001781381,0.0002420668,0.000006484762,0.00000553744,0.00008977054,0.9574169,0.0005439849,0.005776155,0.02693574],"study_design_scores_gemma":[0.0008182465,0.000156878,0.000468461,0.00002511164,0.000192086,0.00002313135,0.00003606778,0.4794512,0.4553131,0.0006004186,0.06236805,0.0005472039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6050444,0.001014936,0.3759709,0.008652069,0.00007089433,0.0008342749,0.0002078061,0.0003292163,0.007875515],"genre_scores_gemma":[0.9903302,0.0000509203,0.007480923,0.0003869669,0.0002558625,0.00002709234,0.00007191585,0.0000211577,0.001374925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5021037,"threshold_uncertainty_score":0.6995854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020038142819139,"score_gpt":0.272398054681999,"score_spread":0.2523599118628599,"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."}}