{"id":"W4247055879","doi":"10.1515/iupac.88.1380","title":"Sulcus","year":2017,"lang":"de","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":[0.003001853,0.001158815,0.001335192,0.009610478,0.001430819,0.004898853,0.002484429,0.001584707,0.3135379],"category_scores_gemma":[0.03620045,0.0006936098,0.001990569,0.01151323,0.0007510898,0.004694817,0.003183057,0.002225359,0.2283137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399914,"about_ca_system_score_gemma":0.00597547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194506,"about_ca_topic_score_gemma":0.02396476,"domain_scores_codex":[0.9960964,0.000793399,0.0008214891,0.001018714,0.0009323311,0.0003376505],"domain_scores_gemma":[0.9881895,0.003977026,0.001099124,0.002842784,0.003316377,0.0005753213],"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":[0.00006462029,0.00001026904,0.0007421913,0.001150437,0.00003666319,0.0000286119,0.00005071916,0.0001182628,0.00006050037,0.002467603,0.9795882,0.01568207],"study_design_scores_gemma":[0.00004082187,0.000006025183,0.001148135,0.0008433152,0.00002201885,0.00004070055,0.00007682263,0.00009391667,0.00009323256,0.002273593,0.9953485,0.00001301389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004099818,0.001445648,0.001028813,0.0022838,0.0008859278,0.0001743032,0.9684122,0.001463564,0.02389575],"genre_scores_gemma":[0.002199706,0.001787119,0.002718042,0.002407858,0.0003801004,0.0007508914,0.9712256,0.0009601334,0.01757053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3135379,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317979875769271,"score_gpt":0.4608746988355713,"score_spread":0.4476949000778786,"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."}}