{"id":"W4253530240","doi":"10.1515/iupac.88.1185","title":"Perinatal","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":[0.001198243,0.001121335,0.001018297,0.00309961,0.000749765,0.002674167,0.001863661,0.001296801,0.1798964],"category_scores_gemma":[0.01033955,0.0005039734,0.001320951,0.005351511,0.0002967805,0.002084938,0.00212496,0.001442297,0.1619283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339487,"about_ca_system_score_gemma":0.002622206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651776,"about_ca_topic_score_gemma":0.0292046,"domain_scores_codex":[0.9982988,0.0003043821,0.0003576093,0.0005153689,0.0003373404,0.000186474],"domain_scores_gemma":[0.9960003,0.001071198,0.0005084042,0.0008702592,0.001293981,0.0002558187],"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":[0.0001366535,0.00001567289,0.001783104,0.001614233,0.00004096172,0.00003184813,0.00003830935,0.0001120961,0.0001137889,0.001148751,0.9827961,0.0121685],"study_design_scores_gemma":[0.00008303807,0.00001243973,0.003573065,0.0007703857,0.00002729922,0.00006455988,0.00007462185,0.00007707583,0.0001500043,0.001097661,0.9940529,0.00001685922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001412594,0.0002079034,0.0001265308,0.0001264552,0.00005673711,0.00003097791,0.9956478,0.0002313017,0.00343093],"genre_scores_gemma":[0.0005477934,0.0002673788,0.0003950096,0.0002448506,0.00002012303,0.0001298991,0.9954602,0.00009124163,0.002843384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8201036,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082080709882777,"score_gpt":0.4531203845111688,"score_spread":0.442299577412341,"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."}}