{"id":"W4244483606","doi":"10.1515/iupac.81.0644","title":"Numerical Response","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Data mining; Biology; Linguistics; 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":[0.00191687,0.002037901,0.001347645,0.00294454,0.0009553322,0.003433715,0.002727531,0.002281406,0.1840379],"category_scores_gemma":[0.02372755,0.0004770422,0.00189711,0.004861949,0.0005064986,0.002514305,0.002351869,0.002578823,0.2335109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500042,"about_ca_system_score_gemma":0.002054218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007549752,"about_ca_topic_score_gemma":0.01564082,"domain_scores_codex":[0.9965498,0.0006583761,0.0005198725,0.001081984,0.000807007,0.0003829101],"domain_scores_gemma":[0.9937337,0.002248562,0.0004156744,0.001600095,0.001671328,0.0003305562],"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":[0.0001079601,0.00003194973,0.001928466,0.0005214348,0.00002414878,0.00001734407,0.00002156708,0.0003465978,0.00007206228,0.0008546119,0.9877883,0.008285652],"study_design_scores_gemma":[0.000188536,0.00003277617,0.003788855,0.000339469,0.00002417483,0.00008485164,0.0001706834,0.001061839,0.0002980751,0.003607823,0.9903715,0.00003149239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005362798,0.0001683023,0.0003043079,0.0003013204,0.0001500626,0.0000600757,0.9935312,0.000958239,0.003990358],"genre_scores_gemma":[0.00207847,0.0001544954,0.001544089,0.0003406117,0.00004756804,0.0002999668,0.9910297,0.0002029183,0.004302127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1840379,"threshold_uncertainty_score":0.6156681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553420012218305,"score_gpt":0.413738145524081,"score_spread":0.398203945401898,"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."}}