{"id":"W4405868302","doi":"10.1016/j.sna.2024.116154","title":"Detection of microplastics by microfluidic microwave sensing: An exploratory study","year":2024,"lang":"en","type":"article","venue":"Sensors and Actuators A Physical","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Microplastics; Microfluidics; Microwave; Environmental science; Nanotechnology; Materials science; Computer science; Environmental chemistry; Chemistry; Telecommunications","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":[0.0001201356,0.0001966089,0.000204427,0.00004969576,0.0001024215,0.00005916287,0.0000621362,0.00006143736,0.0000296026],"category_scores_gemma":[0.00002331701,0.0001688358,0.00005182062,0.0002023823,0.0002058433,0.0001416574,0.00007745137,0.000170872,0.00007537439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005339938,"about_ca_system_score_gemma":0.0000133185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007735207,"about_ca_topic_score_gemma":0.00003697765,"domain_scores_codex":[0.9989009,0.00007942226,0.0001965028,0.0003992631,0.0001964548,0.0002274571],"domain_scores_gemma":[0.9995288,0.0001205072,0.00004760194,0.0001534543,0.000009741595,0.0001398784],"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":[0.00002720625,0.0002522793,0.0001764478,0.00001576682,0.00002324637,0.00001432016,0.002763998,0.00001010163,0.9744174,0.0000176397,0.001079374,0.02120218],"study_design_scores_gemma":[0.000580106,0.001343366,0.001441618,0.00005722787,0.0002120901,0.00005853876,0.002579896,0.0371425,0.9460129,0.0006068623,0.009366064,0.0005988717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908835,0.0001264794,0.00844226,0.00001274922,0.000228507,0.0001548776,0.00005634027,0.00004461402,0.00005063084],"genre_scores_gemma":[0.9996512,0.00003409941,0.0001128068,0.00001635456,0.0001039796,0.000001359125,0.000007688835,0.00002588493,0.00004666287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0371324,"threshold_uncertainty_score":0.6884924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007552546265946209,"score_gpt":0.2156719690973796,"score_spread":0.2081194228314334,"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."}}