{"id":"W4244778659","doi":"10.1515/iupac.88.1381","title":"Superfecundation","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":[0.004998828,0.001402757,0.001906168,0.007484994,0.001420799,0.004943309,0.00318933,0.002252764,0.1970056],"category_scores_gemma":[0.03827361,0.0007739434,0.002374345,0.01072822,0.0008838431,0.004008713,0.004558573,0.00272828,0.1838017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052937,"about_ca_system_score_gemma":0.005188091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155695,"about_ca_topic_score_gemma":0.02223184,"domain_scores_codex":[0.9935672,0.001516705,0.001516419,0.001465607,0.001339406,0.0005946443],"domain_scores_gemma":[0.9827293,0.006092223,0.001528049,0.004556233,0.00428924,0.0008049656],"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":[0.00006657426,0.00001123063,0.0006030663,0.001477594,0.00003047146,0.00002158571,0.00003681612,0.00008869432,0.00007875766,0.0009152151,0.9917278,0.004942301],"study_design_scores_gemma":[0.00009269662,0.00001066574,0.001407556,0.0008496502,0.00002161184,0.0000407753,0.00005562951,0.0001059555,0.0001097846,0.001134666,0.9961519,0.00001919831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000112657,0.0002171778,0.0002205589,0.0002329447,0.0001633881,0.00006560807,0.9959326,0.0003925874,0.002662398],"genre_scores_gemma":[0.0004212486,0.0001947278,0.0006590415,0.0003529006,0.00004111926,0.000414497,0.9957781,0.0002226147,0.001915815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1970056,"threshold_uncertainty_score":0.6590493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248457381527696,"score_gpt":0.4591430832160544,"score_spread":0.4466585094007774,"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."}}