{"id":"W4243803479","doi":"10.1515/iupac.88.0776","title":"Exfoliation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004591686,0.001376448,0.001572128,0.007286822,0.001336099,0.005543712,0.002480516,0.002146892,0.3164531],"category_scores_gemma":[0.04301689,0.0007544981,0.002436748,0.008560305,0.0007166165,0.003983483,0.003845787,0.002309202,0.2570101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031106,"about_ca_system_score_gemma":0.004992149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008076098,"about_ca_topic_score_gemma":0.01528047,"domain_scores_codex":[0.9940234,0.001321657,0.001603271,0.001370999,0.001172128,0.0005085752],"domain_scores_gemma":[0.9827071,0.006955349,0.001307768,0.003782265,0.004607471,0.000640125],"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":[0.00009204101,0.00001125328,0.0005746417,0.00194965,0.00003327895,0.00002945606,0.00004335727,0.00008714567,0.0001251762,0.0008710907,0.9893385,0.006844377],"study_design_scores_gemma":[0.0001130397,0.00001444391,0.001164326,0.00106007,0.00003029758,0.00005519307,0.00008268971,0.00009811109,0.0001828487,0.001280611,0.9958982,0.00002003797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001388276,0.0002661762,0.0003417461,0.0003590137,0.0003331677,0.0001091326,0.9944384,0.0005705516,0.003443051],"genre_scores_gemma":[0.0005541913,0.0003502834,0.001218942,0.0007453359,0.00009571905,0.0007938056,0.9911795,0.0004163044,0.004645928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3164531,"threshold_uncertainty_score":0.9749966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238427928404774,"score_gpt":0.4642547723480009,"score_spread":0.4518704930639532,"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."}}