{"id":"W4394448047","doi":"10.6084/m9.figshare.21077615","title":"Additional file 1 of Comprehensive chemical profiling of volatile constituents of Angong Niuhuang Pill in vitro and in vivo based on gas chromatography coupled with mass spectrometry","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Traditional Chinese Medicine Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chromatography; Chemistry; Gas chromatography–mass spectrometry; Mass spectrometry; Pill; In vivo; Profiling (computer programming); Pharmacology; Biotechnology; Medicine; Computer science; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001540568,0.001475061,0.0014891,0.001988204,0.0007339627,0.001863812,0.001995429,0.001939215,0.4096698],"category_scores_gemma":[0.01232647,0.0005208746,0.0009967923,0.003633327,0.0003458787,0.001529057,0.001215378,0.001167328,0.09369727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124474,"about_ca_system_score_gemma":0.002313599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008729963,"about_ca_topic_score_gemma":0.01606616,"domain_scores_codex":[0.9992356,0.0001185219,0.000139851,0.0002838414,0.0001267861,0.0000953819],"domain_scores_gemma":[0.9953256,0.002981767,0.000428844,0.0004384737,0.0006331637,0.0001922602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003424464,0.00009401301,0.003391796,0.005083585,0.00009863611,0.00007356205,0.00004496251,0.0004909494,0.0002537514,0.0005748542,0.983217,0.006334397],"study_design_scores_gemma":[0.003438874,0.0001726964,0.02031891,0.002304443,0.0002809768,0.0002613772,0.000205468,0.001387943,0.000878548,0.004006398,0.9666569,0.00008738205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008099811,0.00002292295,0.00004833202,0.00002731621,0.000004907285,0.00001868845,0.999608,0.00005689915,0.0001319367],"genre_scores_gemma":[0.001015677,0.00006885223,0.0006448468,0.0001052742,0.00001129424,0.0004939053,0.9967217,0.00006990089,0.0008685728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4096698,"threshold_uncertainty_score":0.8420344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667394764357173,"score_gpt":0.2652613962343355,"score_spread":0.2485874485907638,"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."}}