{"id":"W4414330386","doi":"10.1039/d5cc02304a","title":"Curcumin-based-fluorescent staining and microfluidic detection of microplastics in wastewater effluent","year":2025,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microplastics; Effluent; Wastewater; Microfluidics; Fluorescence; Sewage treatment; Sewage","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":[0.0002168236,0.000636388,0.0003093474,0.0004766645,0.0002448556,0.000312903,0.0004682823,0.0005831934,0.0007113863],"category_scores_gemma":[0.0002959264,0.0003074583,0.0003395076,0.0001717665,0.0003225465,0.0004447663,0.000558382,0.0003827437,0.0004387768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006452697,"about_ca_system_score_gemma":0.0004466095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009411572,"about_ca_topic_score_gemma":0.001925822,"domain_scores_codex":[0.9997635,0.00002361831,0.00001714015,0.00008061644,0.00006309104,0.00005198718],"domain_scores_gemma":[0.9998757,0.00003494513,0.00004018647,0.00001023419,0.0000217003,0.00001723058],"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":[0.00002396552,0.00001132136,0.0001431387,0.000070988,0.000003226714,0.00004891629,0.00001078794,0.0001259076,0.9973825,0.00008337201,0.00004815855,0.002047719],"study_design_scores_gemma":[0.000003124124,0.0000345668,0.0003979604,0.000003361449,0.000003390031,0.00005508105,0.000004744189,0.000974612,0.9978905,0.00002145197,0.0006055172,0.000005862902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8851936,0.007765818,0.1009389,0.000626385,0.0002042784,0.0001832605,0.0006024983,0.0009237365,0.003561545],"genre_scores_gemma":[0.9249059,0.0028402,0.06686289,0.0001803044,0.00004772635,0.0002171083,0.0002362244,0.00004690476,0.004662715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009411572,"threshold_uncertainty_score":0.004681766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089065758771984,"score_gpt":0.2547365254585988,"score_spread":0.243845867870879,"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."}}