{"id":"W2972522081","doi":"10.1016/j.dyepig.2019.107875","title":"Polymer nanocomposite film for dual colorimetric and fluorescent ascorbic acid detection integrated single-cell bioimaging with droplet microfluidic platform","year":2019,"lang":"en","type":"article","venue":"Dyes and Pigments","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"University of Kurdistan","keywords":"Ascorbic acid; Fluorescence; Polymer; Absorbance; Nanoprobe; Biomolecule; Nanocomposite; Quenching (fluorescence); Microfluidics; Nanotechnology; Chemistry; Materials science; Analytical Chemistry (journal); Chromatography; Nanoparticle; Organic chemistry; Optics","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":[0.00004273248,0.0001793434,0.000194094,0.00006762296,0.00007645547,0.00004971582,0.00004479474,0.00008460785,0.00003761695],"category_scores_gemma":[0.000009781338,0.000142168,0.00003784251,0.0001738846,0.00003982602,0.00009020932,0.00003362016,0.0001258901,0.00000802995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004655549,"about_ca_system_score_gemma":0.000007465172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003785692,"about_ca_topic_score_gemma":9.549664e-7,"domain_scores_codex":[0.9992064,0.000004763236,0.0001613064,0.0002675685,0.0001061657,0.0002538562],"domain_scores_gemma":[0.9996561,0.0000580148,0.00004670835,0.00009577132,0.00003119246,0.0001121432],"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":[0.0001924123,0.00005245291,0.001577441,0.0001370267,0.00004531042,0.000002843156,0.00005513664,0.000005184335,0.9963394,0.00001188264,0.00004004581,0.001540872],"study_design_scores_gemma":[0.00128336,0.0002100456,0.0001315754,0.00006328688,0.00005853125,0.00001751633,0.0001029746,0.01223777,0.9846311,0.000006054926,0.001053824,0.000203976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954214,0.001265216,0.002724685,0.00002472337,0.00005799324,0.0001958039,0.00002715379,0.00004341756,0.000239621],"genre_scores_gemma":[0.9986078,0.00006079243,0.0003275701,0.00004610102,0.00003431135,0.000007405688,0.00005216433,0.00002194921,0.0008418998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01223259,"threshold_uncertainty_score":0.5797443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643168977055755,"score_gpt":0.1944308169205441,"score_spread":0.1857876479434883,"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."}}