{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002133814,0.0004529484,0.000821168,0.0001999492,0.00007927972,0.00002285468,0.0001763374,0.0003941936,0.003886935],"category_scores_gemma":[0.0004812363,0.0002893267,0.0002466914,0.0001272724,0.0001027503,0.00004168927,0.00009185314,0.0003992124,0.00002174846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648628,"about_ca_system_score_gemma":0.0009431525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001666051,"about_ca_topic_score_gemma":0.0001270618,"domain_scores_codex":[0.9976145,0.00004081785,0.0003754686,0.0004880874,0.001019669,0.0004614462],"domain_scores_gemma":[0.9982162,0.00007166421,0.0001779373,0.0009474212,0.0002802632,0.0003065683],"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":[0.0004094765,0.0003654419,0.00009703674,0.0001352601,0.0003493331,0.000664263,0.000005341856,6.522318e-8,0.00001058024,0.000002192729,0.9929216,0.005039399],"study_design_scores_gemma":[0.003240606,0.0006230524,0.0002953495,0.001515889,0.0005988428,0.0001511774,0.000006830626,9.144367e-7,0.00006371507,0.00004359704,0.9931687,0.000291394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003757541,0.00122894,0.00002888533,0.000985787,0.000579011,0.0003059142,0.9961005,0.000113849,0.0002812956],"genre_scores_gemma":[0.00004684714,0.001131376,0.00007793818,0.0007797434,0.001019099,0.00001279621,0.9926503,0.00005017714,0.004231776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004748005,"threshold_uncertainty_score":0.9999559,"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."}}