{"id":"W4246888838","doi":"10.1515/iupac.88.0886","title":"Hermaphroditism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008670167,0.0009419803,0.001040569,0.001992354,0.0007118315,0.001468536,0.001150426,0.0008800346,0.1118359],"category_scores_gemma":[0.006656929,0.0004232906,0.001207369,0.003551792,0.0003704934,0.001042451,0.001203328,0.001135369,0.04543804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006729798,"about_ca_system_score_gemma":0.001354893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190364,"about_ca_topic_score_gemma":0.02165303,"domain_scores_codex":[0.9988532,0.0001836919,0.0002697613,0.0003621346,0.0002242305,0.0001069863],"domain_scores_gemma":[0.9978219,0.0008551226,0.0004181066,0.000489059,0.0003174208,0.00009836662],"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":[0.000291287,0.00003180488,0.006193454,0.002693299,0.0001176518,0.0001703973,0.00005698195,0.0002240753,0.0002413551,0.00148745,0.9683958,0.02009632],"study_design_scores_gemma":[0.0002224612,0.00003126717,0.01732587,0.001293889,0.00007583947,0.0004989373,0.0001042314,0.0001483578,0.0002544367,0.001979324,0.9780321,0.00003324005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008674153,0.0005805817,0.0002817554,0.0001445611,0.0001210114,0.00005119378,0.9932404,0.0001788772,0.004534258],"genre_scores_gemma":[0.003764282,0.001097537,0.0008133513,0.0004606132,0.00005587637,0.0002916694,0.987904,0.0001116462,0.005501086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1118359,"threshold_uncertainty_score":0.3741283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120687265750141,"score_gpt":0.4525927033557939,"score_spread":0.4413858306982925,"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."}}