{"id":"W4233832707","doi":"10.1515/iupac.79.1591","title":"Median Effective Concentration","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Hazard; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Sociology; Social science","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":[0.001813862,0.001980358,0.002473065,0.003921765,0.0005522128,0.003226657,0.003117254,0.001915273,0.06673472],"category_scores_gemma":[0.01349147,0.000488026,0.002576754,0.004992054,0.0003784423,0.002155873,0.001216981,0.002087408,0.07604181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991667,"about_ca_system_score_gemma":0.002178839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417681,"about_ca_topic_score_gemma":0.01597515,"domain_scores_codex":[0.9975267,0.0002996311,0.0003908198,0.001022743,0.0005911849,0.0001688691],"domain_scores_gemma":[0.9957507,0.001545786,0.0005375025,0.0008355679,0.001162742,0.0001677606],"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":[0.0003780866,0.00006542318,0.005848977,0.002296936,0.0002785898,0.00003734272,0.0000220959,0.002312082,0.0002085935,0.001457347,0.9646696,0.02242491],"study_design_scores_gemma":[0.0006446724,0.000102714,0.01320327,0.0007999557,0.0002766012,0.000232652,0.00008247195,0.002507439,0.0009705073,0.006355283,0.9747293,0.00009502554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000451137,0.000587205,0.0003462552,0.000103916,0.00009423644,0.00003354184,0.9957854,0.000386224,0.002212092],"genre_scores_gemma":[0.003766638,0.0006037375,0.001235244,0.0002555795,0.00008680898,0.000197947,0.9912019,0.0001395094,0.002512711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06673472,"threshold_uncertainty_score":0.2232499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923569413454115,"score_gpt":0.3392896318944889,"score_spread":0.3333660624810348,"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."}}