{"id":"W7111375767","doi":"10.1021/acsmeasuresciau.5c00082.s001","title":"Non-Targeted Analysis Workflow of Endocrine-DisruptingChemicals in Ovarian Follicular Fluid: Identification of Parabensby Diagnostic Fragmentation Evidence and Additional Contaminants viaMass Spectral Library Matching","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Follicular fluid; Fragmentation (computing); Mass spectrometry; Workflow; Prioritization; Follicular phase; Orbitrap; Contamination","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002437928,0.001162217,0.0008627792,0.00235111,0.0008722341,0.001290589,0.001135904,0.00104409,0.002970929],"category_scores_gemma":[0.002733117,0.0005438744,0.001136991,0.0009050347,0.0005293942,0.0008221712,0.001721373,0.0008826749,0.002036362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007224108,"about_ca_system_score_gemma":0.002804867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003920737,"about_ca_topic_score_gemma":0.005167126,"domain_scores_codex":[0.9982666,0.0001502693,0.0001267438,0.0005728146,0.0007427898,0.0001407485],"domain_scores_gemma":[0.9987735,0.000320577,0.0001784484,0.0001236854,0.0004808547,0.0001227765],"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":[0.001515291,0.000400627,0.02273554,0.001026063,0.0003528247,0.001213338,0.0005751138,0.002707393,0.856603,0.0008334661,0.004637476,0.1073998],"study_design_scores_gemma":[0.0001971764,0.001178295,0.0304118,0.0001413436,0.0002667901,0.003232604,0.0004939386,0.0775049,0.8613852,0.001659883,0.02320766,0.000320514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4725551,0.00445597,0.4806365,0.001086389,0.0003667605,0.0034818,0.01332166,0.01708779,0.007007936],"genre_scores_gemma":[0.4349669,0.002414349,0.5436494,0.001735511,0.0001257809,0.001622193,0.008378373,0.0009440859,0.00616331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003920737,"threshold_uncertainty_score":0.0128932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101935609147382,"score_gpt":0.3048594012302689,"score_spread":0.2946658403155307,"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."}}