{"id":"W4414075252","doi":"10.1016/j.toxlet.2025.07.1022","title":"LP-06 Decoding PFAS Mechanisms with High-Throughput Transcriptomics","year":2025,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Transcriptome; Gene; Innate immune system; Gene expression; Cholesterol; Gene regulatory network; Gene expression profiling","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":[0.0001682472,0.0002136933,0.0002407736,0.0001048862,0.0001361419,0.00002092644,0.0002031637,0.0002257942,0.00000396445],"category_scores_gemma":[0.00002485504,0.0001810843,0.00009492342,0.0001817764,0.0002004233,0.000004768117,0.00005874037,0.0001489865,0.000003757686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004034719,"about_ca_system_score_gemma":0.00004565591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008780763,"about_ca_topic_score_gemma":0.0000743768,"domain_scores_codex":[0.9988225,0.00008146336,0.0002032946,0.0004787475,0.00008121292,0.0003328512],"domain_scores_gemma":[0.9994547,0.0000195545,0.00007401142,0.0003623546,0.00004327812,0.00004609309],"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":[0.00007591279,0.00004131856,0.0002284545,0.000008319926,0.0001587373,0.00001485657,0.00001161715,0.00002804228,0.991187,0.002078459,0.004837552,0.001329742],"study_design_scores_gemma":[0.0005176548,0.000211591,0.0003265887,0.00001992951,0.0001028278,0.00001824686,0.00003468672,0.0000317826,0.9871426,0.0007676052,0.01058176,0.0002447895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6827394,0.0000667823,0.3106314,0.005756524,0.0001327678,0.0001586258,0.000009495435,0.00008830756,0.0004167689],"genre_scores_gemma":[0.9340575,0.00006398988,0.05039097,0.01478765,0.00007684874,0.00001839028,0.00008188064,0.00001991743,0.0005028538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2602404,"threshold_uncertainty_score":0.7384403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005641540377404355,"score_gpt":0.2437503426106264,"score_spread":0.238108802233222,"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."}}