{"id":"W4232918950","doi":"10.1515/iupac.83.0465","title":"Toxicity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Multidisciplinary approach; Computer science; Process (computing); Data science; Component (thermodynamics); Management science; Sociology; Engineering; Biology; Linguistics; Mathematics; 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":[0.000409404,0.0004370814,0.0005419581,0.0001326453,0.000130256,0.00005490833,0.0005511074,0.0002613276,0.005637455],"category_scores_gemma":[0.000923147,0.0003135973,0.0001786256,0.0001010824,0.0001656539,0.0000868394,0.0002865772,0.0004911579,0.0000215284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571227,"about_ca_system_score_gemma":0.0002930211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427659,"about_ca_topic_score_gemma":0.0001031209,"domain_scores_codex":[0.9976914,0.0001189661,0.0003950457,0.0005693157,0.0007983344,0.000426957],"domain_scores_gemma":[0.9983839,0.0002035727,0.0002856299,0.0006923352,0.0002814819,0.0001530694],"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":[0.0004043077,0.0001737649,0.00001289684,0.00009255356,0.00008116466,0.0004468866,0.000007854405,7.656519e-8,0.00009929037,0.00001049866,0.995716,0.002954745],"study_design_scores_gemma":[0.0004537931,0.001284642,0.00008026933,0.0005776472,0.00005111839,0.00009339315,0.00001347583,0.000003800714,0.00002325674,0.0002506392,0.9967337,0.0004343046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00280938,0.0003059513,0.0001100859,0.0002189035,0.0005933831,0.0001516715,0.9952739,0.0001918593,0.0003448924],"genre_scores_gemma":[0.000530123,0.0002358968,0.00009942066,0.0002250856,0.00195709,0.000009030027,0.9958098,0.00004685356,0.001086685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005615926,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101177841033779,"score_gpt":0.5062561896123734,"score_spread":0.4050783485785944,"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."}}