{"id":"W4244304050","doi":"10.1515/iupac.87.0268","title":"Glial Cell","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); Chemical nomenclature; Computer science; Chemistry; Linguistics; Data mining; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003439808,0.000471972,0.0005385617,0.0001401372,0.0001295781,0.00006166699,0.0005789894,0.0002802871,0.005336513],"category_scores_gemma":[0.0004317547,0.000345911,0.0001929551,0.0000931586,0.000153942,0.00008196272,0.000283424,0.0005289235,0.00003600601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220218,"about_ca_system_score_gemma":0.0003679987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791583,"about_ca_topic_score_gemma":0.00005912217,"domain_scores_codex":[0.9975861,0.0001136653,0.000413722,0.0005964222,0.0008296296,0.0004604563],"domain_scores_gemma":[0.9983866,0.0001873741,0.0003168327,0.0006718889,0.0002764055,0.0001609118],"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":[0.0006000723,0.000208975,0.000008911409,0.0001369402,0.00004764422,0.000622376,0.00001116078,1.067273e-7,0.0001589476,0.000004136079,0.9965079,0.001692845],"study_design_scores_gemma":[0.000781706,0.001591898,0.00002844458,0.0004190725,0.00006630608,0.00005983355,0.00001918973,0.000003615911,0.00003842539,0.0001367146,0.996379,0.0004757557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001825304,0.0004544083,0.00007294599,0.0001296325,0.0009176521,0.0001612413,0.9955714,0.0001707135,0.0006967099],"genre_scores_gemma":[0.0005321329,0.0002592904,0.000121714,0.0001428723,0.003066755,0.000009111697,0.9936075,0.00005970172,0.002200959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005300506,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08252065097677422,"score_gpt":0.4913788662114543,"score_spread":0.40885821523468,"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."}}