{"id":"W4246181801","doi":"10.1515/iupac.76.0289","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; Toxicokinetics; Hazard; Relation (database); Multidisciplinary approach; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Philosophy; Linguistics; Law; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002484465,0.0004018632,0.0005031754,0.00005390307,0.00006296374,0.0000268865,0.0003503272,0.0004300565,0.003177545],"category_scores_gemma":[0.0005506072,0.0002917533,0.0001809733,0.0001393702,0.0001002265,0.00007480289,0.000166075,0.0005378398,0.00001091245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007741883,"about_ca_system_score_gemma":0.00009949344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008252365,"about_ca_topic_score_gemma":0.0001259378,"domain_scores_codex":[0.9978394,0.00003803164,0.0004002013,0.0004732998,0.0008117874,0.0004372979],"domain_scores_gemma":[0.9987298,0.0002154105,0.0001591503,0.0005171936,0.0001687515,0.0002097322],"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":[0.0001133025,0.00009705714,8.906088e-7,0.0002281572,0.0001488124,0.00003139847,0.000008533813,0.00001598119,0.0006368767,0.00004256601,0.9875579,0.01111855],"study_design_scores_gemma":[0.001018547,0.00006007368,0.000004967207,0.0004392375,0.0001309555,0.000002287104,0.000005833268,0.0001502596,0.001929124,0.000174121,0.9956729,0.0004117201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003449118,0.0003758224,0.002132473,0.0007590541,0.000702336,0.0004646946,0.9952393,0.0001349408,0.000156859],"genre_scores_gemma":[0.0001512665,0.0009991267,0.0000317349,0.0001788741,0.001503351,0.00004244867,0.9967887,0.00003596967,0.0002684812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01070683,"threshold_uncertainty_score":0.9999534,"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."}}