{"id":"W4253524305","doi":"10.1515/iupac.78.0447","title":"NPD","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Data science; Ecology; Chemistry; Engineering; Biology; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185191,0.001781146,0.00137669,0.005878602,0.0009780285,0.003059413,0.00279064,0.002045657,0.1497036],"category_scores_gemma":[0.009289291,0.0006711847,0.001368973,0.009818853,0.0004739268,0.00255652,0.002284134,0.002074829,0.1731147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258164,"about_ca_system_score_gemma":0.004335633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298224,"about_ca_topic_score_gemma":0.04258746,"domain_scores_codex":[0.9982699,0.0002554737,0.0003159427,0.0005407233,0.0004342241,0.0001837222],"domain_scores_gemma":[0.9965669,0.0009856686,0.0004032704,0.0007029612,0.001073728,0.0002674523],"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":[0.00004419479,0.00001258737,0.0004933521,0.001226799,0.00002012017,0.00002124671,0.00002425386,0.0001852564,0.0001162576,0.0009503391,0.9932798,0.003625803],"study_design_scores_gemma":[0.00005735314,0.000007294464,0.001126013,0.0003979719,0.00001201139,0.00003104098,0.00003810896,0.0001283556,0.0001233158,0.0009973247,0.9970681,0.00001309234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003661981,0.00006605063,0.00006167509,0.00005323783,0.00001620075,0.00001044302,0.998779,0.000151868,0.0008249428],"genre_scores_gemma":[0.0001293234,0.00008376124,0.0002437841,0.00005737741,0.000004746542,0.00006738651,0.9987369,0.00005184878,0.000624784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1497036,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376114526667133,"score_gpt":0.3923990222129277,"score_spread":0.3786378769462563,"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."}}