{"id":"W4399751643","doi":"10.17504/protocols.io.e6nvw1b3dlmk/v1","title":"Teeth Steroid Extraction for &amp;#34;Steroid profiling in human primary teeth via liquid chromatography-tandem mass spectrometry for long-term retrospective steroid measurement&amp;#34; v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Steroid; Chemistry; Chromatography; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Extraction (chemistry); Mass spectrometry; Biochemistry; Hormone","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007696391,0.0006740212,0.0006024009,0.001107766,0.0006874662,0.0008398155,0.0003681416,0.0006879521,0.002125806],"category_scores_gemma":[0.0009488545,0.0003917063,0.0004726178,0.0007195323,0.0005722845,0.0002467814,0.000407907,0.0007389294,0.001756572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090214,"about_ca_system_score_gemma":0.00103436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776155,"about_ca_topic_score_gemma":0.004687868,"domain_scores_codex":[0.9990577,0.0001225367,0.00005793295,0.0002699684,0.0003989452,0.00009296091],"domain_scores_gemma":[0.9996699,0.0000669952,0.00004651663,0.00004567747,0.0001410559,0.00002988537],"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":[0.0004785441,0.00009399281,0.01459252,0.0002002182,0.00006306925,0.0005517741,0.0001740599,0.0001219798,0.9293801,0.000188914,0.001620391,0.0525345],"study_design_scores_gemma":[0.0000816801,0.001161774,0.1077235,0.0001626041,0.0002674127,0.00320973,0.0003751692,0.004586654,0.839587,0.0005981266,0.04212052,0.0001257429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8116964,0.03221634,0.1307148,0.001058029,0.0009151879,0.001513489,0.009486374,0.00177663,0.01062269],"genre_scores_gemma":[0.8025647,0.01134863,0.163436,0.001909557,0.0003427103,0.001549131,0.005052201,0.000407483,0.01338959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002125806,"threshold_uncertainty_score":0.00711149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06740310346114298,"score_gpt":0.3173136009149131,"score_spread":0.2499104974537701,"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."}}