{"id":"W4254679603","doi":"10.1515/iupac.79.1096","title":"Cumulative Median Lethal Dose","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Toxicology; Computer science; Chemistry; Biology; Philosophy; 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":[0.0004751836,0.0004384989,0.0008163559,0.0003959429,0.00009543631,0.00004386333,0.0002295261,0.0003576747,0.006869972],"category_scores_gemma":[0.001152987,0.0003144763,0.0002301861,0.000227589,0.0001842949,0.0001564071,0.00009217016,0.0006741931,0.00001943704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005509659,"about_ca_system_score_gemma":0.001475319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001274174,"about_ca_topic_score_gemma":0.0001311563,"domain_scores_codex":[0.9970406,0.00007897778,0.0005456175,0.0005282439,0.001346089,0.0004604988],"domain_scores_gemma":[0.997928,0.0001451937,0.0002863171,0.0008222171,0.0004259465,0.0003923562],"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":[0.000254407,0.0001564627,0.00004349889,0.0001130201,0.0002103029,0.0003684564,0.00004308,5.356447e-7,0.00002060306,0.000004258626,0.9820197,0.01676564],"study_design_scores_gemma":[0.002865842,0.000262778,0.0003266644,0.000721132,0.0002935583,0.00009557449,0.00003607263,0.0000293904,0.00006978415,0.00009002204,0.9948584,0.0003507818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002969732,0.0007056245,0.00009030658,0.006127086,0.000860812,0.0004328416,0.9909924,0.00008214053,0.0004118754],"genre_scores_gemma":[0.0002209079,0.0007657084,0.00007604904,0.00141485,0.00306743,0.00001342443,0.9929088,0.00005486948,0.001478006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01641486,"threshold_uncertainty_score":0.9999307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187047934549623,"score_gpt":0.4416375549776291,"score_spread":0.4197670756321328,"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."}}