{"id":"W4417081855","doi":"10.1021/acssensors.5c03678","title":"Point-of-Need PFAS Detection: A Yes/No Biosensor Solution","year":2025,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Australian Research Council","keywords":"Perfluorooctanoic acid; Human health; Biosensor; Environmental remediation; Human blood; Hazardous waste; Sample preparation; Chemical sensor","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001960658,0.000120804,0.0001460568,0.00008254916,0.0001477371,0.00001902424,0.0002007179,0.00009857045,0.001087071],"category_scores_gemma":[0.0001070195,0.0001116531,0.00007057453,0.0005597543,0.0002505475,0.000148275,0.0001193981,0.0001566963,0.001454341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467703,"about_ca_system_score_gemma":0.00001534136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006879689,"about_ca_topic_score_gemma":0.0003083726,"domain_scores_codex":[0.9987901,0.0000848073,0.0002096452,0.0002686011,0.0003092765,0.0003375546],"domain_scores_gemma":[0.9994661,0.00008019034,0.00005108359,0.0003023357,0.00002332799,0.00007693098],"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":[0.0001374341,0.00009038135,0.01938655,0.00002902253,0.00003357846,0.00001161314,0.0003287365,0.0002232636,0.8951235,0.0001782032,0.007474433,0.07698326],"study_design_scores_gemma":[0.0006889381,0.0001527617,0.05431161,0.00004069621,0.0000236473,0.00001175455,0.0002724984,0.003138223,0.7986561,0.0005582621,0.1418458,0.0002996528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332841,0.000352604,0.0001484529,0.000393243,0.0002795406,0.0001736028,0.00000702025,0.00005157429,0.06530988],"genre_scores_gemma":[0.9840902,0.0001200734,0.0003572869,0.00009969176,0.00004242857,0.000009211884,0.000002659217,0.000008782545,0.01526969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343714,"threshold_uncertainty_score":0.9998261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064278053206211,"score_gpt":0.2590973559026311,"score_spread":0.2484545753705689,"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."}}