{"id":"W4245443396","doi":"10.1515/iupac.79.1186","title":"Effective Dose (ED)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","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; Library science; Chemistry; Philosophy; Biology; Sociology; Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000254419,0.0006594549,0.0007085876,0.00006773192,0.0001924043,0.00003536462,0.0007087777,0.0006824713,0.04175738],"category_scores_gemma":[0.0006417499,0.0005452732,0.0002519826,0.00008328669,0.0002909709,0.0001010945,0.0002415705,0.0009169343,0.00001527652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354221,"about_ca_system_score_gemma":0.0005064305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001409096,"about_ca_topic_score_gemma":0.00002987475,"domain_scores_codex":[0.9970826,0.00003122005,0.0004946885,0.0008255758,0.001016642,0.0005492796],"domain_scores_gemma":[0.9975292,0.0002052617,0.0003799855,0.001367379,0.0002770449,0.0002410919],"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":[0.0002537487,0.0002987224,0.000002777332,0.0009170558,0.0001843564,0.000181024,0.000008186982,7.914354e-7,0.002502646,0.000001661079,0.9850073,0.01064176],"study_design_scores_gemma":[0.001493385,0.00004487648,4.894704e-7,0.001047123,0.0001425343,0.00001925867,0.00001604967,3.900597e-7,0.006919531,0.00008695672,0.9895555,0.0006738623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001674871,0.001428585,0.00003350709,0.00005353332,0.0007385256,0.0001344012,0.994994,0.0001251801,0.002324715],"genre_scores_gemma":[0.00002420671,0.0008128752,0.00003734709,0.000134128,0.002343639,0.00006924247,0.9894643,0.00006598028,0.007048256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04174211,"threshold_uncertainty_score":0.9996999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008023740818778973,"score_gpt":0.3793958022363579,"score_spread":0.3713720614175789,"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."}}