{"id":"W4251341780","doi":"10.1515/iupac.81.0047","title":"Aggregation Error","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; 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":[0.02298012,0.002501286,0.003550415,0.008650489,0.002640013,0.007868182,0.005416763,0.003115136,0.1308917],"category_scores_gemma":[0.1541136,0.001183618,0.004975044,0.01789188,0.001388622,0.004980828,0.005175898,0.003835514,0.09901263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004673921,"about_ca_system_score_gemma":0.006382448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965787,"about_ca_topic_score_gemma":0.02513015,"domain_scores_codex":[0.9578179,0.01115111,0.01027042,0.01166113,0.006941106,0.002158373],"domain_scores_gemma":[0.8921863,0.04465001,0.007362625,0.03645818,0.01832241,0.001020387],"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":[0.0001719401,0.00002826497,0.00384465,0.0009890608,0.0002008405,0.00004138643,0.00006472521,0.0007464921,0.00004159681,0.002549869,0.977304,0.01401711],"study_design_scores_gemma":[0.000408765,0.00003227388,0.006685524,0.001362049,0.0001994348,0.0001570662,0.0001706081,0.001851711,0.0004401552,0.01293996,0.975675,0.00007757407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009454,0.0009023699,0.00281663,0.001391207,0.001289048,0.0002749617,0.9848859,0.002112175,0.005382329],"genre_scores_gemma":[0.006635523,0.000404745,0.005150652,0.001081035,0.0003227053,0.001290307,0.9777444,0.0007155878,0.006655061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1308917,"threshold_uncertainty_score":0.4378765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270111569024557,"score_gpt":0.3623309502421737,"score_spread":0.3496298345519281,"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."}}