{"id":"W4249402754","doi":"10.1515/iupac.81.0656","title":"Paradigm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001859188,0.001712449,0.001020773,0.003964186,0.001916979,0.005943173,0.00333718,0.001848942,0.1846356],"category_scores_gemma":[0.01375287,0.0007206385,0.002192979,0.007829223,0.0006598375,0.0069515,0.003702492,0.003338871,0.159179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994804,"about_ca_system_score_gemma":0.004915462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312574,"about_ca_topic_score_gemma":0.03756023,"domain_scores_codex":[0.9968353,0.0006423061,0.0004316982,0.001065238,0.0006766129,0.0003488656],"domain_scores_gemma":[0.995368,0.00137546,0.0003655925,0.001397988,0.001165852,0.0003272106],"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":[0.00007043615,0.0000274798,0.001355573,0.0006130175,0.00002404044,0.00003287923,0.0000911708,0.0002790968,0.00008494464,0.01361712,0.9709083,0.01289589],"study_design_scores_gemma":[0.00003537613,0.000006421212,0.000827401,0.0002246619,0.000007682597,0.00005811749,0.0001498542,0.000317418,0.00006665154,0.009057049,0.9892374,0.00001211168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005637408,0.0004674909,0.001921639,0.00106295,0.000210453,0.0001318171,0.972219,0.001133335,0.02228968],"genre_scores_gemma":[0.001853355,0.0004938382,0.004049305,0.000622876,0.00003998607,0.0004005162,0.9859158,0.0003201366,0.00630432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8153644,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183121647039197,"score_gpt":0.4188365819178437,"score_spread":0.400524417213924,"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."}}