{"id":"W4239255428","doi":"10.1515/iupac.88.0384","title":"Abdominal Cavity","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[0.0005278938,0.001029734,0.001077891,0.002371971,0.0005505609,0.001735624,0.001224802,0.0009063097,0.1752007],"category_scores_gemma":[0.006036136,0.0003762363,0.001145765,0.0035591,0.0002794101,0.001673153,0.001512491,0.001202626,0.1294736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007551199,"about_ca_system_score_gemma":0.001466025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106104,"about_ca_topic_score_gemma":0.01618643,"domain_scores_codex":[0.9992464,0.000113129,0.0001798093,0.0002529664,0.000125053,0.00008280369],"domain_scores_gemma":[0.9979995,0.0005728192,0.0003600505,0.0004164033,0.0005284932,0.0001228276],"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":[0.0002773551,0.00002104114,0.004352798,0.002547362,0.00007765189,0.0001195854,0.0000461075,0.0002183025,0.0002196878,0.00107387,0.958832,0.03221426],"study_design_scores_gemma":[0.0001084058,0.00002282152,0.01087477,0.001396965,0.0000552311,0.0004628068,0.0001041011,0.0001487903,0.0002164362,0.001649332,0.9849297,0.00003053114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005021909,0.0007873073,0.000310506,0.00017039,0.00009641526,0.00005423432,0.9897865,0.0003606699,0.007931687],"genre_scores_gemma":[0.002698979,0.001173123,0.001004821,0.0005051079,0.00006091513,0.0002050624,0.9883958,0.0001469907,0.005809207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1752007,"threshold_uncertainty_score":0.5861048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202376098673729,"score_gpt":0.4640534726710915,"score_spread":0.4520297116843542,"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."}}