{"id":"W4231045878","doi":"10.1515/iupac.81.0082","title":"Aufwuchs","year":2016,"lang":"de","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Environmental chemistry; Computer science; Risk assessment; Biology; Chemistry; Philosophy; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003496909,0.0007215203,0.0006630756,0.0000420581,0.0001517703,0.00007086166,0.0009368234,0.0006479296,0.1155995],"category_scores_gemma":[0.0004479544,0.000593222,0.0002798805,0.000239749,0.000449247,0.0001213734,0.0006771496,0.00080698,0.0003869952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386994,"about_ca_system_score_gemma":0.0001542613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003924941,"about_ca_topic_score_gemma":0.00002468342,"domain_scores_codex":[0.996042,0.00002884027,0.0006185562,0.0009429115,0.001502339,0.0008653682],"domain_scores_gemma":[0.9979532,0.0001184288,0.0002160246,0.001127557,0.00004841081,0.0005363444],"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":[0.00008088409,0.0002456532,0.00001718164,0.0001993274,0.00008862199,0.0001024401,0.0000123117,0.00005594917,0.01895797,0.000002787164,0.9765177,0.003719188],"study_design_scores_gemma":[0.0007839541,0.00007529662,0.00001469118,0.0005387153,0.0001369955,0.00002130693,0.00001373865,0.00007166133,0.01128794,0.00008863181,0.9861553,0.0008117728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001729067,0.0008411608,0.0003536013,0.0005577661,0.0006749932,0.0001684468,0.9952639,0.00008770311,0.0003233153],"genre_scores_gemma":[0.001390581,0.001717185,0.00008803026,0.0002189805,0.001856501,0.0000123752,0.9925832,0.00006766254,0.002065534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1152125,"threshold_uncertainty_score":0.9996519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006206587353698027,"score_gpt":0.327385797210444,"score_spread":0.321179209856746,"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."}}