{"id":"W4236987360","doi":"10.1515/iupac.87.0073","title":"Astrocyte","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Neuroscience; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0005729519,0.001395626,0.001377813,0.003225291,0.0009111337,0.002937272,0.001729891,0.001470876,0.05514462],"category_scores_gemma":[0.003894397,0.0005661627,0.001562878,0.005511168,0.0003076043,0.001551257,0.001833075,0.001535213,0.09449805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011402,"about_ca_system_score_gemma":0.002494391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302505,"about_ca_topic_score_gemma":0.03754356,"domain_scores_codex":[0.9991454,0.00009123959,0.0001778482,0.0002585747,0.000199568,0.0001273484],"domain_scores_gemma":[0.9986281,0.0002440097,0.0002496066,0.0003721037,0.0003856174,0.0001204987],"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":[0.0002818718,0.00002331072,0.003554443,0.003706288,0.00008937735,0.00008767012,0.00005091004,0.0004049337,0.0007320029,0.001226041,0.9792528,0.01059037],"study_design_scores_gemma":[0.0001351275,0.00002104748,0.005681377,0.0006822335,0.00007106775,0.0001977837,0.00006039391,0.0002604024,0.0005764855,0.001335134,0.9909548,0.00002412037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003374335,0.0004198479,0.0001329902,0.000077773,0.00005136405,0.00002022577,0.996424,0.0004197238,0.002116589],"genre_scores_gemma":[0.0006987685,0.0003217896,0.0004287507,0.0001110194,0.000008895187,0.00007696509,0.9971554,0.00006718689,0.001131084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05514462,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072404932648287,"score_gpt":0.5773394338554015,"score_spread":0.4700989405905729,"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."}}