{"id":"W4414480979","doi":"10.1016/j.reprotox.2025.109069","title":"Exposure to low-dose polystyrene nanoplastics impairs the estrous cycle by decreasing ovarian levels of steroidogenic acute regulatory protein and serum progesterone levels in rats","year":2025,"lang":"en","type":"article","venue":"Reproductive Toxicology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Estrous cycle; Endocrine system; Steroidogenic acute regulatory protein; Microplastics; Ovary; Hormone; Uterus; Luteal phase; Follicular phase","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007262439,0.0003892946,0.0002493012,0.0003594715,0.0001963078,0.0002025126,0.0001870665,0.0004372517,0.001506609],"category_scores_gemma":[0.0001356497,0.0002587329,0.0003124055,0.0001616208,0.0003584074,0.0002521737,0.0001687765,0.0004913604,0.0001964795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425975,"about_ca_system_score_gemma":0.0003226296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955112,"about_ca_topic_score_gemma":0.003192398,"domain_scores_codex":[0.9998968,0.000009915926,0.000006123526,0.00002571765,0.00002717978,0.00003439322],"domain_scores_gemma":[0.99984,0.00001672743,0.0000552508,0.00001647881,0.0000185243,0.00005296605],"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":[0.00181206,0.0002242536,0.001513774,0.0000314043,0.00001912574,0.00007312513,0.00003690171,0.0001277454,0.9941027,0.00004750961,0.00004998174,0.001961499],"study_design_scores_gemma":[0.00003861598,0.003703313,0.02549361,0.000009382484,0.00006223236,0.0001073581,0.0001637492,0.0008570145,0.9685901,0.0001364087,0.0008202981,0.00001798839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986643,0.0002563795,0.0006118822,0.00005877728,0.0000210311,0.000006564904,0.0001232398,0.00002153179,0.0002362789],"genre_scores_gemma":[0.9952338,0.0005233574,0.0004413026,0.00006304101,0.00001120179,0.00002173905,0.0002356442,0.000009352453,0.00346058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955112,"threshold_uncertainty_score":0.00504005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148369852275185,"score_gpt":0.2302392213552357,"score_spread":0.2220908515029605,"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."}}