{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621636,0.0003992788,0.0002418811,0.0002822827,0.0002066405,0.0003542837,0.0004885745,0.0004360103,0.0006983108],"category_scores_gemma":[0.0001565983,0.0003565304,0.0001852763,0.0001992694,0.000155829,0.0003258183,0.0002633711,0.0004608609,0.000322478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004151117,"about_ca_system_score_gemma":0.0002752295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005433648,"about_ca_topic_score_gemma":0.001461965,"domain_scores_codex":[0.9998161,0.00001060379,0.000009229178,0.00007722302,0.00006126972,0.00002564646],"domain_scores_gemma":[0.999912,0.00001833923,0.00002108232,0.000006533851,0.00002715388,0.00001485253],"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":[0.0000105164,0.000007744565,0.00001955681,0.00001469038,0.000001331377,0.00001444701,0.000003509575,0.00003166088,0.9990022,0.00005120951,0.00002407781,0.0008192039],"study_design_scores_gemma":[0.000002613186,0.00003260499,0.0001352887,9.620315e-7,0.000004663855,0.00003531312,0.000002249146,0.001104838,0.9980897,0.000008340801,0.0005803218,0.000003115538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107825,0.003162265,0.08043446,0.0002938684,0.000215681,0.00008806834,0.0003649411,0.001293851,0.003364481],"genre_scores_gemma":[0.9469469,0.001073749,0.04645569,0.00008449124,0.00003982787,0.00009598394,0.0001852222,0.00003889732,0.005079226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006983108,"threshold_uncertainty_score":0.003011882,"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."}}