{"id":"W4253812404","doi":"10.1515/iupac.79.1129","title":"Dermal Irritation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; CAS Registry Number; Computer science; Toxicology; Medicine; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001084413,0.0002208177,0.0001957594,0.00001537047,0.00004572663,0.0000182686,0.0002652219,0.0002215563,0.01928403],"category_scores_gemma":[0.0001645667,0.0001796557,0.00007651556,0.00008414363,0.00009933837,0.00007682587,0.0001738843,0.000246888,0.00001550039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296955,"about_ca_system_score_gemma":0.00003232853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003811736,"about_ca_topic_score_gemma":0.0000514335,"domain_scores_codex":[0.9986423,0.000008541929,0.0002044446,0.0003071817,0.0005806466,0.0002568446],"domain_scores_gemma":[0.9994119,0.0000371874,0.00007198328,0.0003353546,0.00001522851,0.0001283103],"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":[0.00001487139,0.00004346525,0.000006268697,0.0000419084,0.00001003927,0.00001678337,0.000002760901,0.00003853508,0.002746117,3.544153e-7,0.9954343,0.001644547],"study_design_scores_gemma":[0.0002567266,0.00001623574,0.00002573805,0.00007963594,0.00002433305,0.000009810797,0.000002966573,0.00001998974,0.002282114,0.00005675032,0.9969733,0.0002524183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008147073,0.00004968267,0.0001614495,0.0001695963,0.0001491789,0.00006020487,0.9982225,0.00004318083,0.0003294625],"genre_scores_gemma":[0.000266037,0.00007729653,0.00006362965,0.0001011365,0.0003211939,0.000006581303,0.9987749,0.00001570256,0.0003734812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01926853,"threshold_uncertainty_score":0.9816125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005630252771038765,"score_gpt":0.3283623110280151,"score_spread":0.3227320582569763,"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."}}