{"id":"W4250926699","doi":"10.1515/iupac.78.0139","title":"Algicide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Pesticide; Computer science; Relation (database); Library science; Management science; Data science; Chemistry; Engineering; Ecology; 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":[0.0008202063,0.001624254,0.001340822,0.00432854,0.0006981328,0.002164643,0.002409531,0.001417762,0.1060701],"category_scores_gemma":[0.005583382,0.0004675131,0.001258009,0.007904348,0.0003169874,0.001834125,0.001504044,0.001510614,0.09659316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702329,"about_ca_system_score_gemma":0.002507553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011778,"about_ca_topic_score_gemma":0.04050691,"domain_scores_codex":[0.9989109,0.0001679469,0.0002146009,0.0003493066,0.0002587947,0.00009852734],"domain_scores_gemma":[0.9979935,0.0005805338,0.0004014383,0.0003535274,0.0005363157,0.0001347584],"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":[0.00007874107,0.00001498622,0.0009596135,0.001894217,0.00003768164,0.00002677183,0.0000226611,0.0001923459,0.000118959,0.0008396597,0.990127,0.005687504],"study_design_scores_gemma":[0.00008238455,0.00001056866,0.002196275,0.0004890757,0.00002649739,0.00004536904,0.00003445032,0.00008898426,0.0001135612,0.0007112532,0.9961881,0.00001357048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006805122,0.0001507739,0.00004209442,0.00005512854,0.00001306915,0.000009886671,0.9986986,0.00008646707,0.000875842],"genre_scores_gemma":[0.0003077206,0.000214763,0.000224713,0.0001006795,0.000006501741,0.00007909894,0.9980696,0.00003833725,0.0009586104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1060701,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098305505489684,"score_gpt":0.3527203553189153,"score_spread":0.3417373002640184,"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."}}