{"id":"W4235950578","doi":"10.1515/iupac.87.0215","title":"Edema","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; Epistemology; Engineering ethics; Chemistry; Linguistics; Philosophy; Engineering; Organic chemistry; 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":[0.001098636,0.001275757,0.001192201,0.002671392,0.0007583647,0.002976236,0.002152408,0.001572526,0.1987108],"category_scores_gemma":[0.009983631,0.0004501356,0.001429282,0.004389926,0.0003083519,0.002479789,0.001925104,0.001386093,0.1715683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391968,"about_ca_system_score_gemma":0.002328917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309886,"about_ca_topic_score_gemma":0.02644047,"domain_scores_codex":[0.9983616,0.0002579393,0.0003506944,0.0005104038,0.0003322528,0.0001870404],"domain_scores_gemma":[0.996053,0.001061908,0.0005418852,0.0007972827,0.00130712,0.0002387502],"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":[0.0001780244,0.00002087159,0.002033813,0.001355561,0.00003308132,0.00003455323,0.00003007194,0.0001568868,0.00008318554,0.001073639,0.9836957,0.01130453],"study_design_scores_gemma":[0.0001520704,0.00001796126,0.003571665,0.0006685351,0.00002902104,0.00009304303,0.00007874193,0.0001702205,0.0001715824,0.001669594,0.9933583,0.00001927076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001964031,0.0001965208,0.0001305628,0.0001752067,0.00005685267,0.00003848349,0.9947325,0.0003765526,0.004096909],"genre_scores_gemma":[0.0009333584,0.0002640886,0.0005352959,0.0003636032,0.00002848854,0.0001518897,0.9939849,0.0001073721,0.003631003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1987108,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002800682910719,"score_gpt":0.5087738705303121,"score_spread":0.4084938022392401,"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."}}