{"id":"W4311443198","doi":"10.1039/d2an01571d","title":"Smartphone-based microplate reader for high-throughput quantitation of disease markers in serum","year":2022,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Science Foundation of Shanxi Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Microtiter plate; Procalcitonin; Point-of-care testing; Plate reader; Computer science; Point of care; Chromatography; Biomedical engineering; Chemistry; Medicine; Pathology; Optics; Immunology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002494568,0.002202412,0.001829465,0.001897454,0.0005649576,0.0009772186,0.002104608,0.001892603,0.004842139],"category_scores_gemma":[0.001553467,0.000699026,0.000917622,0.001187978,0.0004123751,0.0008645744,0.001132983,0.00181475,0.004657852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676005,"about_ca_system_score_gemma":0.0007397577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004121261,"about_ca_topic_score_gemma":0.0009187392,"domain_scores_codex":[0.9963612,0.0008112674,0.0003214575,0.0007793973,0.001576941,0.0001497968],"domain_scores_gemma":[0.9991085,0.0002580161,0.0001006327,0.00008987469,0.0003791401,0.00006385559],"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":[0.0004565479,0.0003243263,0.001334314,0.001355712,0.0001330357,0.000264278,0.0001803272,0.0005775,0.9346976,0.0009347558,0.008563844,0.05117783],"study_design_scores_gemma":[0.0001217093,0.001374135,0.00469151,0.0001474477,0.0002247996,0.002491944,0.0001146718,0.03343641,0.919641,0.0005749888,0.03699313,0.0001883277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08808999,0.01509268,0.8645074,0.001039789,0.00205492,0.001577857,0.004229641,0.01364756,0.009760216],"genre_scores_gemma":[0.2035274,0.01026253,0.7591299,0.001149426,0.0006496362,0.0036687,0.00541794,0.0003271328,0.01586723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004842139,"threshold_uncertainty_score":0.01619858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127534059573066,"score_gpt":0.2155247464995,"score_spread":0.2042494059037694,"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."}}