{"id":"W4236362646","doi":"10.1515/iupac.87.0019","title":"Adrenalin","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; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; 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":[0.0004343026,0.0004654349,0.0005642017,0.0001632604,0.0001188068,0.00005820104,0.0005728476,0.0002657279,0.007598842],"category_scores_gemma":[0.0008473909,0.0003309322,0.0001947049,0.0001111052,0.0001643908,0.00008102464,0.0002627312,0.0005160755,0.00003087752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154739,"about_ca_system_score_gemma":0.00033841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001821932,"about_ca_topic_score_gemma":0.00008937813,"domain_scores_codex":[0.997544,0.0001290427,0.0004470689,0.0005905736,0.0008453704,0.0004439591],"domain_scores_gemma":[0.9982759,0.0002157955,0.0003195991,0.0007121304,0.0003166957,0.0001598809],"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":[0.0004850178,0.0001463956,0.000009733388,0.0000997773,0.0001036955,0.0006631054,0.000008414899,1.046172e-7,0.00004872652,0.00001152448,0.9946067,0.003816773],"study_design_scores_gemma":[0.0005816732,0.001214799,0.00005460349,0.0008542251,0.00006801446,0.0001350497,0.00001515505,0.000003834802,0.00001149813,0.0002471117,0.99635,0.0004639872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009606073,0.0006539383,0.00009464147,0.0002269753,0.0006194391,0.000151483,0.9968365,0.0001882765,0.0002681055],"genre_scores_gemma":[0.0002418089,0.0002996788,0.0001187778,0.0001953295,0.002331704,0.00001120666,0.995346,0.00005623676,0.001399297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007567965,"threshold_uncertainty_score":0.9999143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09999955015971089,"score_gpt":0.5093972134762804,"score_spread":0.4093976633165695,"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."}}