{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006794882,0.001138024,0.0005317265,0.001150783,0.0005674644,0.0005582354,0.0004479457,0.0007620556,0.0008347681],"category_scores_gemma":[0.0008117112,0.0003400161,0.0004244824,0.0005771679,0.0006911199,0.0007626284,0.0006387813,0.001095075,0.0007268238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430161,"about_ca_system_score_gemma":0.0007561996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007510798,"about_ca_topic_score_gemma":0.002525438,"domain_scores_codex":[0.9993411,0.00008013115,0.00003459289,0.0002365062,0.0002407414,0.00006699488],"domain_scores_gemma":[0.9996227,0.000125564,0.00007950897,0.00004260364,0.00008681988,0.00004273541],"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":[0.0000196588,0.000009520256,0.0002806402,0.00005444029,0.00001432644,0.00005389026,0.00001396495,0.00002410011,0.9968457,0.00004572317,0.00005163686,0.002586311],"study_design_scores_gemma":[0.00001176074,0.000181605,0.0076153,0.00002140496,0.00004925492,0.0006854972,0.00006491173,0.001202375,0.9860963,0.0003564365,0.003686918,0.00002825059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5128781,0.01345942,0.4618159,0.0007980829,0.0004108551,0.0009186387,0.003607325,0.001197663,0.004913914],"genre_scores_gemma":[0.4760688,0.01389534,0.4979068,0.001372005,0.000305695,0.001455051,0.002865795,0.0003476014,0.005782959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001150783,"threshold_uncertainty_score":0.003593564,"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."}}