{"id":"W4233936257","doi":"10.1515/iupac.81.0593","title":"Metameter","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Risk assessment; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001512699,0.0009755479,0.001381242,0.0006944165,0.0001238226,0.0001315627,0.001184479,0.0006939577,0.03108773],"category_scores_gemma":[0.001828285,0.0006787088,0.000512493,0.0004433289,0.0003499805,0.0002156829,0.0004570429,0.0008770305,0.0004817813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244067,"about_ca_system_score_gemma":0.001313985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355534,"about_ca_topic_score_gemma":0.00122678,"domain_scores_codex":[0.9939904,0.0002948463,0.0008347335,0.001073818,0.002837964,0.000968252],"domain_scores_gemma":[0.9952363,0.0002171728,0.000598599,0.002565531,0.0009944488,0.0003879477],"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":[0.0002827531,0.0002695044,0.000002171633,0.0001012242,0.0004794486,0.000168541,0.000004054682,2.830081e-7,0.00005631575,0.000006295207,0.996726,0.001903444],"study_design_scores_gemma":[0.001455001,0.0002072763,0.000009755245,0.0003994745,0.0006154788,0.00003775436,0.000005670136,0.000001030931,0.00006199039,0.0002068232,0.9960712,0.0009284961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002960867,0.001043348,0.00006750859,0.0003272838,0.001331652,0.0004786518,0.9963033,0.0003058575,0.000112824],"genre_scores_gemma":[0.000002021931,0.0003480806,0.0001582911,0.0003891453,0.00193263,0.00003535854,0.9953878,0.0002861053,0.001460578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03060595,"threshold_uncertainty_score":0.9995664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091716651713361,"score_gpt":0.4300123264298129,"score_spread":0.4090951599126793,"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."}}