{"id":"W4253134970","doi":"10.1515/iupac.88.0580","title":"Centromere","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001163844,0.001625066,0.001581742,0.004894673,0.001519218,0.004399263,0.00245676,0.001906785,0.1818204],"category_scores_gemma":[0.01145524,0.0007872382,0.001510919,0.009140089,0.0004957965,0.003331542,0.003202716,0.001896426,0.2097459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536113,"about_ca_system_score_gemma":0.003444455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765735,"about_ca_topic_score_gemma":0.03245334,"domain_scores_codex":[0.9981288,0.0002817128,0.0003608063,0.0006610838,0.0003462381,0.0002213474],"domain_scores_gemma":[0.9961682,0.001187091,0.0004652793,0.0009977401,0.0009049606,0.0002767194],"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":[0.0001202089,0.00001112471,0.001465463,0.001716323,0.00003189518,0.00003808429,0.00006697988,0.0001493706,0.0001789982,0.001790595,0.987195,0.007235998],"study_design_scores_gemma":[0.00005024699,0.000006662751,0.001816496,0.0003842588,0.00001800264,0.00005388983,0.0000650868,0.00006627728,0.0001259062,0.001263555,0.9961354,0.00001432888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001403355,0.0002904402,0.0001851092,0.0001270483,0.00005978537,0.0000217153,0.9950342,0.000534658,0.00360667],"genre_scores_gemma":[0.0005292026,0.0002927188,0.0005731138,0.0002018163,0.00001750344,0.0001107295,0.9962071,0.0001806432,0.001887058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181796,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076121369989254,"score_gpt":0.4519751802645038,"score_spread":0.4412139665646113,"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."}}