{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534764,0.002388933,0.001464055,0.005216967,0.0012281,0.003821146,0.00361861,0.002305067,0.1143717],"category_scores_gemma":[0.01174266,0.0008078758,0.002004809,0.00839371,0.000499929,0.004162416,0.00409634,0.002563288,0.1829394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169996,"about_ca_system_score_gemma":0.003304098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370146,"about_ca_topic_score_gemma":0.03730574,"domain_scores_codex":[0.9978477,0.0004035182,0.0003326932,0.0006888864,0.0004478241,0.0002793876],"domain_scores_gemma":[0.9962399,0.001050845,0.0003195345,0.001279243,0.0007897273,0.0003206429],"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":[0.00007149752,0.00002085229,0.000881622,0.0009045208,0.00002821157,0.00002481396,0.0000364573,0.000291673,0.0001394034,0.00142907,0.9911815,0.004990329],"study_design_scores_gemma":[0.00009286563,0.00001376989,0.001399561,0.0003209303,0.00001707833,0.00006184645,0.00008379019,0.0004119365,0.0002499784,0.002387795,0.9949385,0.00002196765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001175519,0.0001082518,0.0002146182,0.0001571412,0.00004642574,0.00002190029,0.996929,0.0009236066,0.001481494],"genre_scores_gemma":[0.0003335129,0.0001051517,0.0007049975,0.000111013,0.000009800908,0.00009246456,0.997647,0.0001385916,0.000857497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1143717,"threshold_uncertainty_score":0,"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."}}