{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003519645,0.0005054359,0.0006064066,0.0001770161,0.0001373028,0.0000648104,0.0006328287,0.0002798107,0.004804761],"category_scores_gemma":[0.0006013248,0.0003694747,0.0002022433,0.0001120615,0.0001677656,0.00009964623,0.0003102851,0.0005323121,0.0000377745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836177,"about_ca_system_score_gemma":0.0003552093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729749,"about_ca_topic_score_gemma":0.00009299068,"domain_scores_codex":[0.9974257,0.0001110544,0.0004462444,0.0006331209,0.0008858798,0.000498003],"domain_scores_gemma":[0.9982474,0.0001888372,0.0003210537,0.0007753269,0.0002943736,0.0001730279],"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":[0.0006680319,0.0001265353,0.000007143401,0.0001117951,0.000108882,0.0007875711,0.000009632619,9.104156e-8,0.0000487487,0.00001300902,0.9956495,0.002469034],"study_design_scores_gemma":[0.0006092037,0.001541488,0.00004051552,0.0007643755,0.0000732048,0.0002090001,0.000015525,0.000004957974,0.00002266961,0.0001380009,0.9960733,0.0005077414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001168555,0.000674964,0.00009161604,0.000141076,0.0007256675,0.0001576806,0.9963572,0.0002186762,0.0004645483],"genre_scores_gemma":[0.0003408375,0.0005229986,0.0001049133,0.0001883303,0.002196954,0.00001265579,0.9948717,0.00006436078,0.001697264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004766987,"threshold_uncertainty_score":0.9998757,"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."}}