{"id":"W4233839601","doi":"10.1515/iupac.79.0790","title":"Algicide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Library science; Chemistry; Philosophy; Biology; 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":[0.001194304,0.001848863,0.001457997,0.003150582,0.0007381432,0.002553431,0.002666476,0.001529728,0.1144597],"category_scores_gemma":[0.006703574,0.0005436427,0.001973229,0.004455954,0.0003249429,0.001649612,0.00175621,0.001588684,0.1723996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122787,"about_ca_system_score_gemma":0.002291404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138477,"about_ca_topic_score_gemma":0.03064706,"domain_scores_codex":[0.9986625,0.0002419141,0.0002196375,0.0004587988,0.0002876815,0.0001295041],"domain_scores_gemma":[0.9979133,0.0005170503,0.0002805293,0.000570943,0.0005561081,0.00016201],"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":[0.0001629702,0.00002677949,0.001421919,0.001313729,0.00007184376,0.0000246852,0.00001940447,0.0002958798,0.0001176338,0.0006232749,0.9868407,0.009081133],"study_design_scores_gemma":[0.0002057806,0.00002458829,0.002898823,0.000366062,0.00005427342,0.00007000397,0.00004152193,0.0002627277,0.0002037927,0.001048148,0.9948027,0.00002166483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001420471,0.0001590193,0.0001048175,0.00007426873,0.00003410689,0.00002224796,0.9976298,0.0004724301,0.001361335],"genre_scores_gemma":[0.0003591328,0.000147945,0.0003662066,0.0001207883,0.00001018807,0.000089883,0.9975309,0.00009043363,0.001284536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1144597,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674001084286274,"score_gpt":0.4311259872133693,"score_spread":0.4143859763705066,"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."}}