{"id":"W4254740745","doi":"10.1515/iupac.87.0017","title":"Adenoma","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; Chemical nomenclature; Relation (database); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352409,0.00122677,0.001100044,0.003041283,0.0009162147,0.003307421,0.0021845,0.001723715,0.2395391],"category_scores_gemma":[0.01324545,0.0005028464,0.001506945,0.00503516,0.0003447955,0.002419987,0.001857552,0.001543356,0.2394117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178184,"about_ca_system_score_gemma":0.003088345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647537,"about_ca_topic_score_gemma":0.02772032,"domain_scores_codex":[0.9976183,0.0003355565,0.0004434799,0.0008315946,0.0005035797,0.0002675469],"domain_scores_gemma":[0.9945579,0.001295617,0.000527226,0.001228507,0.002064768,0.0003260426],"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":[0.0001364064,0.00001728591,0.001605951,0.000816354,0.00002612604,0.00002357578,0.00002378846,0.0001071968,0.00007845205,0.0009675671,0.9878164,0.008380922],"study_design_scores_gemma":[0.0001213442,0.0000148856,0.003102077,0.0005062937,0.00002123296,0.0000647401,0.00008302621,0.0001427834,0.0001648167,0.001347348,0.9944134,0.00001818451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001673812,0.0001084505,0.0001320241,0.0001664195,0.00005863647,0.00004279777,0.9947206,0.0003327265,0.004270955],"genre_scores_gemma":[0.0006891271,0.0001327559,0.0004907956,0.0003039593,0.00002272752,0.0001685178,0.9941993,0.0001079864,0.003884865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2395391,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09952870872795007,"score_gpt":0.5059180184619719,"score_spread":0.4063893097340219,"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."}}