{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174972,0.0005749972,0.0004803004,0.0004373399,0.0003874213,0.0008728532,0.0009722489,0.0008588241,0.0009094714],"category_scores_gemma":[0.001022064,0.0005446125,0.000316749,0.0004132385,0.001085914,0.0009938058,0.0008666802,0.001301982,0.000447634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134043,"about_ca_system_score_gemma":0.0004857289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005838291,"about_ca_topic_score_gemma":0.001280447,"domain_scores_codex":[0.9990908,0.0002018832,0.00005034669,0.0002400393,0.0003135091,0.0001033993],"domain_scores_gemma":[0.9992591,0.0003824156,0.0001144772,0.0001115251,0.00007372866,0.00005875118],"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":[0.00008735467,0.00002645555,0.00010773,0.00002494989,0.000004688339,0.00001554702,0.00004588169,0.0001513092,0.9970883,0.0004385747,0.00005791228,0.001951303],"study_design_scores_gemma":[0.000009389203,0.00002236628,0.0002270429,0.000001269415,0.000003913401,0.00002480463,0.000006334298,0.002082214,0.9971341,0.00008063624,0.0004016622,0.00000626025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701357,0.001205275,0.124965,0.0004752356,0.00008703164,0.0000805259,0.0002476246,0.0005710073,0.00223255],"genre_scores_gemma":[0.8964618,0.0008300998,0.09513281,0.0002646651,0.00004860952,0.0001776176,0.0004279749,0.00011406,0.006542352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001174972,"threshold_uncertainty_score":0.008228064,"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."}}