{"id":"W1993567948","doi":"10.1016/j.jchromb.2009.06.027","title":"Label-free and amplified quantitation of proteins in complex mixtures using diffractive optics technology","year":2009,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Axela (Canada)","funders":"","keywords":"Immunoassay; Chemistry; Chromatography; Biopolymer; Nanotechnology; Antibody; Materials science","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":[0.0001079634,0.0001049483,0.0002701788,0.0008391231,0.00002289109,0.00001336261,0.0001493001,0.000146942,0.000001094097],"category_scores_gemma":[0.0000650514,0.0000901806,0.00004816951,0.0005185311,0.0001270393,0.00009927745,0.00002020874,0.0002112658,7.851285e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001800023,"about_ca_system_score_gemma":0.00001200801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004765855,"about_ca_topic_score_gemma":0.00000290422,"domain_scores_codex":[0.9993237,0.00001250876,0.0003578964,0.00006367925,0.0001117444,0.0001304655],"domain_scores_gemma":[0.9995514,0.0000257595,0.0001828597,0.0001350515,0.00008441719,0.00002047678],"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":[0.00002149542,0.00006023816,0.002702319,0.00004367888,0.00003980358,0.00001826636,0.0000967997,0.00007543829,0.9922377,0.001719757,0.0002192661,0.002765187],"study_design_scores_gemma":[0.00273267,0.001024738,0.1153266,0.0007258967,0.00009646431,0.0005967292,0.001322358,0.006013682,0.8178474,0.05370637,0.0001920195,0.0004150417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889051,0.002581192,0.008037163,0.0002205705,0.00003835452,0.00009411361,0.000003795355,0.00006657369,0.00005311906],"genre_scores_gemma":[0.9451489,0.0005540588,0.05426712,0.000008707543,0.00001284756,2.674369e-7,5.229055e-7,0.00000731352,1.957463e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1743903,"threshold_uncertainty_score":0.3677458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302772320049376,"score_gpt":0.2565702505865153,"score_spread":0.2335425273860215,"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."}}