{"id":"W2808536926","doi":"10.1016/j.bios.2018.06.024","title":"Highly sensitive paper-based immunoassay using photothermal laser speckle imaging","year":2018,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Research Foundation of Korea","keywords":"Photothermal therapy; Detection limit; Materials science; Laser; Speckle pattern; Colloidal gold; Detector; Nanotechnology; Optics; Nanoparticle; Optoelectronics; Biomedical engineering; Chemistry; Chromatography; Medicine","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":[0.0006607591,0.0005269104,0.0003811207,0.0004345887,0.0001669394,0.0007381264,0.0007250862,0.0009041861,0.0008684285],"category_scores_gemma":[0.0007790783,0.0003535978,0.0002756366,0.0003907344,0.0004280919,0.000787071,0.0006363125,0.0006846739,0.0006814337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501012,"about_ca_system_score_gemma":0.0002773482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002721972,"about_ca_topic_score_gemma":0.0006661837,"domain_scores_codex":[0.9993467,0.0001221664,0.00003572099,0.0001352124,0.0003004719,0.00005970985],"domain_scores_gemma":[0.9995174,0.0002273545,0.00006933781,0.00004683415,0.0001038458,0.00003514335],"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":[0.00002209297,0.00001510372,0.0001262452,0.00002981634,0.000005713065,0.00002403761,0.00001478212,0.000121928,0.9938971,0.0001967993,0.0001216144,0.005424737],"study_design_scores_gemma":[0.000005512768,0.00005346693,0.0003319117,0.00000358272,0.00000636792,0.00006265014,0.000008864519,0.004203523,0.9941536,0.00009305236,0.001069265,0.000008108856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4790091,0.003771172,0.5051741,0.0005784256,0.0005896603,0.0001597283,0.0002947428,0.001478821,0.008944391],"genre_scores_gemma":[0.7839159,0.001671992,0.204058,0.0003690368,0.0001614524,0.0001388143,0.0002959523,0.00008123829,0.00930757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009041861,"threshold_uncertainty_score":0.003494501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00671992197179048,"score_gpt":0.2051561393958322,"score_spread":0.1984362174240417,"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."}}