{"id":"W4232571381","doi":"10.1515/iupac.87.0294","title":"Hen Test","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Test (biology); Computer science; Psychology; Chemistry; Linguistics; Biology; Philosophy; Data mining; Organic chemistry","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":[0.0003815476,0.000482637,0.0005662844,0.0001516084,0.0001376004,0.0000686658,0.0006110123,0.0002576729,0.00490958],"category_scores_gemma":[0.002104139,0.0003465827,0.0001714401,0.0001135516,0.0001801301,0.00009219311,0.0003008227,0.0005179895,0.00003657305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443623,"about_ca_system_score_gemma":0.0003420883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737975,"about_ca_topic_score_gemma":0.00006794679,"domain_scores_codex":[0.9976023,0.00008219061,0.0004324647,0.0006072469,0.0008121834,0.0004636307],"domain_scores_gemma":[0.9979246,0.000519419,0.0003108669,0.0007568303,0.0003224477,0.0001658114],"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":[0.0002294165,0.0002361897,0.00007472445,0.0001054186,0.00006974336,0.0006061707,0.000009178317,5.372354e-8,0.00007243747,0.000005222008,0.9955616,0.003029855],"study_design_scores_gemma":[0.0005551211,0.0018352,0.0001560901,0.0007841322,0.00006502256,0.0001352534,0.00002215516,0.000003715703,0.000006858176,0.0001996856,0.9957529,0.0004838296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006549158,0.0004734552,0.00004799871,0.0002995357,0.000505492,0.00017068,0.9971832,0.0002140173,0.0004506951],"genre_scores_gemma":[0.0003727187,0.0003007932,0.0001199384,0.0002005599,0.002326165,0.00001240235,0.9946947,0.00006336652,0.001909329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004873007,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09442676555541211,"score_gpt":0.5028439099595521,"score_spread":0.40841714440414,"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."}}