{"id":"W4240024854","doi":"10.1515/iupac.87.0485","title":"Oligodendrocyte","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Computer science; Psychology; Linguistics; Philosophy; Data mining","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":[0.0007886167,0.001277297,0.001210018,0.004260211,0.0009187186,0.003411078,0.001779025,0.001337512,0.05683385],"category_scores_gemma":[0.006004359,0.0005324609,0.001298504,0.005932916,0.0003240371,0.001721554,0.00196738,0.001569507,0.07860257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357831,"about_ca_system_score_gemma":0.002749798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889849,"about_ca_topic_score_gemma":0.03588874,"domain_scores_codex":[0.9989775,0.0001069443,0.0002368731,0.0002881103,0.0002427843,0.000147701],"domain_scores_gemma":[0.9976834,0.0004529076,0.0004453063,0.0005036928,0.0007117291,0.0002029407],"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":[0.0002319748,0.00001989731,0.003682762,0.00314178,0.00007078509,0.00008360815,0.00005583703,0.000347827,0.0004655361,0.001184728,0.9772193,0.01349607],"study_design_scores_gemma":[0.0001172113,0.00001920044,0.006197684,0.0008221407,0.00005762196,0.0001862827,0.00007627827,0.000237776,0.0004007137,0.001716638,0.9901427,0.00002576304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000286174,0.0003768628,0.0001163315,0.0000911449,0.00004608574,0.00001730663,0.997001,0.000264238,0.001800811],"genre_scores_gemma":[0.0007522859,0.0003901952,0.0005093207,0.0001296778,0.00001315878,0.0000571003,0.9969274,0.00006268059,0.001158194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05683385,"threshold_uncertainty_score":0.1901281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09441348613613963,"score_gpt":0.5018884005966199,"score_spread":0.4074749144604802,"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."}}