{"id":"W4411931397","doi":"10.1039/d5sc01624j","title":"A perspective of emerging trends in integrated PFAS detection and remediation technologies with data driven approaches","year":2025,"lang":"en","type":"review","venue":"Chemical Science","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Environmental remediation; Data science; Environmental science; Computer science; Artificial intelligence; Contamination; Biology; Ecology","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":[0.0004284289,0.0001775159,0.0004292284,0.0003291109,0.00006938203,0.00003329714,0.001131545,0.0001435258,0.00002986858],"category_scores_gemma":[0.0003676662,0.0001194211,0.00002877821,0.004184309,0.001814333,0.0003522916,0.0008956984,0.0003832767,0.000002471561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174462,"about_ca_system_score_gemma":0.0001093252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002802032,"about_ca_topic_score_gemma":0.0003994555,"domain_scores_codex":[0.9982222,0.00003661375,0.0002286845,0.000774804,0.0004438157,0.0002938627],"domain_scores_gemma":[0.9992415,0.00008791871,0.0001219802,0.0004840177,0.00001562268,0.00004890545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005113488,0.00002095617,0.0001412409,0.0002312707,0.000003781781,0.000001122614,0.0001461568,0.000001942743,0.001112348,0.00002370574,0.00001020554,0.9983022],"study_design_scores_gemma":[0.003047754,0.001006584,0.003232403,0.04233987,0.001088922,0.0002044596,0.0230367,0.06898399,0.09384278,0.003222358,0.7537293,0.006264904],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003875165,0.9910027,0.0001117404,0.00006819597,0.00002571349,0.0002958245,0.00003321313,0.00005077406,0.00453671],"genre_scores_gemma":[0.04534575,0.9532747,0.001170927,0.000001415977,0.000008903527,0.00005353925,0.00003731605,0.000007671974,0.00009976805],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9920372,"threshold_uncertainty_score":0.6684984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0788485238957379,"score_gpt":0.3480447242041898,"score_spread":0.2691962003084519,"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."}}