{"id":"W4387461396","doi":"10.3389/fendo.2023.1266985","title":"Simultaneous extraction and detection of peptides, steroids, and proteins in small tissue samples","year":2023,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Ottawa","keywords":"Hormone; Extraction (chemistry); Steroid; Tandem mass spectrometry; Chromatography; Zebrafish; Steroid hormone; Peptide hormone; High resolution; Biology; Mass spectrometry; Chemistry; Computational biology; Endocrinology; Biochemistry","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":[0.0001112985,0.00009480809,0.0001704372,0.0001842961,0.00002390354,0.000004028736,0.00006669332,0.0001195633,0.00000141099],"category_scores_gemma":[0.0006293395,0.00009320986,0.00001177382,0.0001093308,0.000216267,0.000004887274,0.00007791611,0.00009397243,9.206175e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382301,"about_ca_system_score_gemma":0.0000145249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001463731,"about_ca_topic_score_gemma":0.0005833237,"domain_scores_codex":[0.9991897,0.00009216687,0.0001757031,0.0003042784,0.00002558685,0.0002125715],"domain_scores_gemma":[0.9996748,0.00003342378,0.00006060784,0.0001873155,0.00002060607,0.0000232631],"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":[0.0002003575,0.00002806292,0.09381348,0.0000250217,0.00002022445,0.00001587342,0.0001216343,0.00005244788,0.8383327,0.00003334174,0.0001018834,0.06725504],"study_design_scores_gemma":[0.0009018613,0.000849727,0.3093452,0.000015444,0.000008473697,0.0001114858,0.001052743,0.0001800077,0.674091,0.001237744,0.01203602,0.000170367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952089,0.001972445,0.002106662,0.000132786,0.0002410246,0.000247166,0.000006219961,0.0000102457,0.00007461756],"genre_scores_gemma":[0.9953313,0.002121098,0.002188134,0.00001729467,0.00005009065,0.00002454894,0.00001846001,0.000008062333,0.0002410389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2155317,"threshold_uncertainty_score":0.3800988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466950692025321,"score_gpt":0.2598481878691588,"score_spread":0.2451786809489055,"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."}}