{"id":"W4236041777","doi":"10.1515/iupac.88.1474","title":"Variation, Developmental","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; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001888831,0.001188495,0.001207443,0.005191717,0.001064343,0.003522841,0.002046621,0.001147973,0.1019988],"category_scores_gemma":[0.02268476,0.0005262026,0.002054519,0.01113641,0.0007725444,0.002872151,0.002845214,0.001839526,0.05199059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450694,"about_ca_system_score_gemma":0.002892287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02314015,"about_ca_topic_score_gemma":0.03561774,"domain_scores_codex":[0.9968643,0.0005249306,0.0006702532,0.001087177,0.0006078052,0.0002455605],"domain_scores_gemma":[0.9930277,0.002728163,0.0009382305,0.001689874,0.001377187,0.0002387462],"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":[0.000113534,0.00001852296,0.006787753,0.003303846,0.0001292926,0.00004224247,0.0001240342,0.000280197,0.0001159359,0.003892244,0.9604423,0.0247502],"study_design_scores_gemma":[0.000061086,0.0000133478,0.01009081,0.001021551,0.00006522434,0.0001155636,0.0001274726,0.0001415828,0.00007969632,0.00375131,0.9845024,0.00003008489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004430911,0.001345014,0.0006355473,0.0003333503,0.0002007124,0.00004836513,0.9913723,0.0003459816,0.005275582],"genre_scores_gemma":[0.003514432,0.001413775,0.002078144,0.0005566921,0.00009182769,0.0004430246,0.987702,0.0003108385,0.003889313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019988,"threshold_uncertainty_score":0.34122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147807315420683,"score_gpt":0.4345240182738657,"score_spread":0.4230459451196589,"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."}}