{"id":"W4247934873","doi":"10.1515/iupac.88.0744","title":"Endothelium","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; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003990461,0.0004288524,0.0005234566,0.00004215939,0.0002816583,0.0001213099,0.001100111,0.0002367291,0.01365692],"category_scores_gemma":[0.0008910447,0.0003306869,0.0002078787,0.00005416121,0.0003835915,0.0001103392,0.0007101086,0.0005858166,0.0000845906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301444,"about_ca_system_score_gemma":0.00007396021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441864,"about_ca_topic_score_gemma":0.001111427,"domain_scores_codex":[0.9974946,0.00004628704,0.0003151835,0.0006104172,0.001010075,0.0005234873],"domain_scores_gemma":[0.9979153,0.00009318376,0.0003428557,0.001407748,0.00003257803,0.0002083496],"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":[0.0000277579,0.0001596586,0.0001023389,0.0000520354,0.00002814843,0.0001231466,0.000004196537,0.000007856016,0.0001467428,4.798634e-7,0.9973182,0.002029422],"study_design_scores_gemma":[0.0004398764,0.00009292936,0.0001447005,0.0001206002,0.00007889585,0.00002238907,0.000004217692,0.000006775359,0.0001963409,0.00008641543,0.9983823,0.0004245188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001098591,0.000196993,0.000004003689,0.0003110801,0.0005411577,0.0002329496,0.9964854,0.00005613156,0.001073743],"genre_scores_gemma":[0.00009480976,0.0004674158,0.00009631837,0.0002483457,0.0005794644,0.0000126,0.9967895,0.00003674605,0.001674821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01357233,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169181108867441,"score_gpt":0.452254605507021,"score_spread":0.4405627944183466,"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."}}