{"id":"W4401511380","doi":"10.1021/acssensors.4c00957","title":"Cost-Effective and Wireless Portable Device for Rapid and Sensitive Quantification of Micro/Nanoplastics","year":2024,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Austrian Science Fund; Canada Foundation for Innovation","keywords":"Nanotechnology; Tannic acid; Microplastics; Rhodamine; Fluorescence; Rhodamine B; Computer science; Materials science; Chemistry; Environmental chemistry; 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":[0.0002377153,0.0005364706,0.0003610436,0.0004418117,0.0001566047,0.000305857,0.0006858462,0.0006258392,0.001561709],"category_scores_gemma":[0.0003499031,0.0002524198,0.0002432384,0.000327119,0.0002227115,0.0005211922,0.0003580901,0.0004410542,0.000670755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711962,"about_ca_system_score_gemma":0.0002129466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003106605,"about_ca_topic_score_gemma":0.000583879,"domain_scores_codex":[0.9997544,0.00002154356,0.00001722829,0.0000746615,0.0001089272,0.00002326988],"domain_scores_gemma":[0.9998399,0.00004867442,0.00004285441,0.00001794411,0.00003778539,0.00001281039],"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":[0.00004560813,0.00006882447,0.0005619462,0.0001813522,0.00001283713,0.0001055016,0.00001948006,0.0007350671,0.9672717,0.0005187183,0.0009440792,0.02953488],"study_design_scores_gemma":[0.00002889916,0.0003560837,0.002075003,0.00001934433,0.00004852227,0.0003820324,0.0000287017,0.0311428,0.9538739,0.0002448605,0.01175718,0.00004271055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.314585,0.003243014,0.6702641,0.0007611125,0.0003993067,0.0005009937,0.001391048,0.00295676,0.005898715],"genre_scores_gemma":[0.5934441,0.002201268,0.3938659,0.000635739,0.0001443907,0.000560585,0.000678802,0.0001026427,0.008366603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001561709,"threshold_uncertainty_score":0.005224407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686566592740189,"score_gpt":0.2464322933260151,"score_spread":0.2295666273986132,"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."}}