{"id":"W4256174323","doi":"10.1515/iupac.88.1109","title":"Neurobehavioral","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":[],"consensus_categories":[],"category_scores_codex":[0.001274861,0.001273681,0.001252719,0.004131089,0.0006819483,0.00196825,0.001834195,0.001244297,0.0786824],"category_scores_gemma":[0.01268097,0.0004717089,0.001741327,0.006497528,0.0003523927,0.001706376,0.001965136,0.001700399,0.05549207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368075,"about_ca_system_score_gemma":0.002718551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010713,"about_ca_topic_score_gemma":0.04526063,"domain_scores_codex":[0.9986644,0.0002252861,0.0003624417,0.000340057,0.0002783714,0.000129546],"domain_scores_gemma":[0.9945229,0.001630911,0.0009125518,0.00106988,0.001594344,0.0002693449],"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":[0.0002330701,0.00003702823,0.006648263,0.005421713,0.0001739738,0.00005785971,0.00006394684,0.0002502808,0.0001601139,0.0008218368,0.961974,0.02415786],"study_design_scores_gemma":[0.0001781657,0.00003974727,0.02907646,0.003080672,0.0001469245,0.0001970653,0.0001326148,0.0001588272,0.0002204019,0.002104899,0.9646066,0.00005757929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002637591,0.0005031065,0.000126136,0.0000908272,0.0000428464,0.00003604696,0.9968875,0.000105012,0.001944756],"genre_scores_gemma":[0.001096788,0.0006196862,0.0005553624,0.0001615228,0.00002125898,0.0003441341,0.9954832,0.00004354633,0.00167446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0786824,"threshold_uncertainty_score":0.2632188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607601288716813,"score_gpt":0.4747400937495662,"score_spread":0.4586640808623981,"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."}}