{"id":"W4413205047","doi":"10.1109/oceans58557.2025.11104627","title":"Sizing Microplastic Particles Using Acoustic Imaging and Deep Neural Network","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Environment and Climate Change Canada","keywords":"Sizing; Artificial neural network; Optoacoustic imaging; Acoustics; Computer science; Materials science; Artificial intelligence; Physics; Chemistry","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":[0.00004569431,0.0001193331,0.0001108733,0.00004645988,0.0001126373,0.00007190882,0.00005045311,0.00002592413,0.000007233125],"category_scores_gemma":[0.00001802914,0.000110428,0.00002072429,0.0001390652,0.0000296342,0.0001067132,0.00004461251,0.0001066584,0.000001470314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004047456,"about_ca_system_score_gemma":0.000005917988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001199404,"about_ca_topic_score_gemma":0.00001558255,"domain_scores_codex":[0.9993594,0.000007097686,0.0001335695,0.000117432,0.0000412556,0.0003412753],"domain_scores_gemma":[0.9997885,0.00005741188,0.00001048872,0.0000878249,0.00001830856,0.00003743179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003767394,0.000001349089,0.01651427,0.00006639271,0.00002173219,0.000009247628,0.00008152327,0.8748099,0.08198106,0.0002426986,0.0002781423,0.02598989],"study_design_scores_gemma":[0.0001433014,0.000002306286,0.004195797,0.00006860565,0.00003511713,0.00001593465,0.0001938364,0.9912906,0.00307471,0.0005161676,0.0003327892,0.0001307931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505243,0.002290076,0.2431065,0.00002387302,0.002705461,0.00007000237,3.634257e-7,0.0002618959,0.001017599],"genre_scores_gemma":[0.9915718,0.00002448548,0.007841974,0.00009412699,0.0004307295,0.000002338805,3.677072e-7,0.00001634085,0.00001776995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2410476,"threshold_uncertainty_score":0.4503121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004110656287215397,"score_gpt":0.2043861012936928,"score_spread":0.2002754450064773,"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."}}