{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803191,0.0001031406,0.0001265066,0.00003610515,0.00007436488,0.00003001117,0.00002720527,0.00006268734,0.00002106686],"category_scores_gemma":[0.00008449474,0.00009402516,0.00001806545,0.0001133778,0.0001592587,0.00007854416,0.0000366626,0.00005902711,0.0000200047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003508711,"about_ca_system_score_gemma":0.000009471728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007582916,"about_ca_topic_score_gemma":0.00004456234,"domain_scores_codex":[0.9993351,0.0000284293,0.0001449746,0.000257439,0.00008237075,0.0001516972],"domain_scores_gemma":[0.9991546,0.0006463621,0.00005293019,0.0000737962,0.00001782351,0.00005448561],"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":[0.00005371904,0.00002165969,0.001059501,0.0001132774,0.00003142936,0.00000546399,0.0006523416,0.0005149242,0.9730427,0.0007885107,0.0007055957,0.02301092],"study_design_scores_gemma":[0.0005153422,0.00026008,0.04527324,0.0001711487,0.0001928421,0.00008752233,0.0004635728,0.09908438,0.8335071,0.0003510641,0.0197346,0.0003590966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865012,0.0001252181,0.01217366,0.00006164124,0.0001697295,0.0005863627,0.0001852026,0.00001761208,0.0001794334],"genre_scores_gemma":[0.9985083,0.0001366155,0.001073496,0.00002286238,0.00002130692,0.0000184582,0.00002022642,0.00001210893,0.0001866066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395356,"threshold_uncertainty_score":0.3834234,"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."}}