{"id":"W4232009086","doi":"10.1515/iupac.88.1097","title":"Nasal","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); Medicine; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001480718,0.001370674,0.001211856,0.003389334,0.0009268409,0.003371653,0.002247872,0.00160537,0.2134686],"category_scores_gemma":[0.011367,0.0005396056,0.0015763,0.005287921,0.0003966262,0.002902976,0.002485489,0.001515444,0.2398524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519627,"about_ca_system_score_gemma":0.002661102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455896,"about_ca_topic_score_gemma":0.02797586,"domain_scores_codex":[0.9976689,0.0003950966,0.0004425438,0.0007632162,0.0004935219,0.000236656],"domain_scores_gemma":[0.9956301,0.001046293,0.0004574681,0.001088432,0.001515747,0.0002619216],"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":[0.00008947583,0.00001410148,0.0009706931,0.001062587,0.00002548561,0.00002184641,0.00002824575,0.0000976546,0.0001077856,0.0009676855,0.9886248,0.007989621],"study_design_scores_gemma":[0.00007408892,0.00001100764,0.002036828,0.0005097382,0.00001559973,0.00004614579,0.00007308433,0.000104203,0.0001496854,0.001108286,0.9958552,0.00001620704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001330378,0.0001535428,0.0001564242,0.0001354286,0.00007669621,0.00004060327,0.9954017,0.0003703045,0.003532192],"genre_scores_gemma":[0.000428505,0.0001580589,0.0004411474,0.0002290245,0.00001931165,0.0001445808,0.9958003,0.0001133864,0.002665658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7865314,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202606274283267,"score_gpt":0.4630664968033437,"score_spread":0.451040434060511,"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."}}