{"id":"W4233748414","doi":"10.1515/iupac.78.0224","title":"Contact Poison","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 Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Chemical nomenclature; Computer science; Management science; Data science; Engineering; Chemistry; Ecology; Biology; Data mining","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":[0.0009264263,0.001464835,0.001285465,0.004038189,0.0006432104,0.002309359,0.001962436,0.001838146,0.1796892],"category_scores_gemma":[0.008970207,0.0004568985,0.001080623,0.006922239,0.0003443665,0.002304695,0.001623019,0.001494226,0.1638387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740717,"about_ca_system_score_gemma":0.002549266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574078,"about_ca_topic_score_gemma":0.03360817,"domain_scores_codex":[0.9988328,0.0001968778,0.0002312917,0.0003861602,0.0002361567,0.0001169044],"domain_scores_gemma":[0.9966841,0.001084567,0.0005030213,0.0006514014,0.0008023541,0.0002745427],"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":[0.0000704556,0.0000117073,0.0008358659,0.001075571,0.0000191958,0.00002309942,0.00001947919,0.00009825987,0.00005686552,0.0005395525,0.9930198,0.004230098],"study_design_scores_gemma":[0.00009178518,0.00001024431,0.002206642,0.0005000728,0.000017849,0.00005918082,0.000044335,0.00009181617,0.0001010898,0.0008472566,0.9960168,0.00001294254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006911052,0.0001422606,0.00005126531,0.00008985423,0.00002051566,0.00001437551,0.9978223,0.0001664562,0.001623812],"genre_scores_gemma":[0.0003877388,0.0002125355,0.0002164498,0.0001720006,0.00001221233,0.00008912049,0.997442,0.00006744042,0.001400533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1796892,"threshold_uncertainty_score":0.6011202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663511246786527,"score_gpt":0.4263058482522696,"score_spread":0.4096707357844044,"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."}}