{"id":"W4248325672","doi":"10.1515/iupac.87.0040","title":"Aneurysm","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003422678,0.0004541615,0.0005245556,0.0001555653,0.0001225563,0.00005843693,0.0005576025,0.0002477044,0.0049373],"category_scores_gemma":[0.0007659176,0.0003278702,0.0001673824,0.0001051417,0.0001644362,0.00008625598,0.000263178,0.0005103451,0.00002597794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187207,"about_ca_system_score_gemma":0.0002759787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080477,"about_ca_topic_score_gemma":0.00004787787,"domain_scores_codex":[0.9976604,0.0001150932,0.000396086,0.0005954501,0.0007946497,0.0004383442],"domain_scores_gemma":[0.9983548,0.0001982402,0.0002874631,0.0007294365,0.0002779925,0.000152064],"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":[0.0003880675,0.0001383444,0.000009554308,0.0001061792,0.00006452636,0.001778776,0.000007543058,5.479912e-8,0.00005086317,0.00001206134,0.9938805,0.003563541],"study_design_scores_gemma":[0.0004916766,0.001341354,0.0000715306,0.0004653673,0.00005725319,0.0004015031,0.0000126496,0.000003883409,0.000005958512,0.0002950038,0.9964104,0.0004434705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009825492,0.0004605512,0.00006196855,0.0002605389,0.0006979535,0.0001513417,0.9968232,0.0002019938,0.0003598901],"genre_scores_gemma":[0.0003092317,0.0002597766,0.00007181391,0.0002171785,0.002041728,0.000009679152,0.9947372,0.00005766817,0.002295723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004911323,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09796379738506794,"score_gpt":0.5052747634980084,"score_spread":0.4073109661129404,"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."}}