{"id":"W4237219777","doi":"10.1515/iupac.79.0856","title":"Arthropathy","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Philosophy; Linguistics; Biology; 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":[0.0003950961,0.0004660591,0.0005590445,0.0001515464,0.000138785,0.00005891101,0.000485175,0.0002441711,0.005923656],"category_scores_gemma":[0.0007605775,0.0003341512,0.0001854304,0.0001051645,0.0002046742,0.00009000499,0.0002578609,0.000495663,0.0000369747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025341,"about_ca_system_score_gemma":0.0003148568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160922,"about_ca_topic_score_gemma":0.00007905754,"domain_scores_codex":[0.9975985,0.0001220586,0.0004217551,0.0005975752,0.0008134129,0.0004466691],"domain_scores_gemma":[0.9983233,0.0001757908,0.0003061216,0.0007387357,0.0003022295,0.0001537891],"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":[0.0003929663,0.0001568921,0.00001302665,0.00008611637,0.00007425383,0.0007879797,0.00001106652,7.74677e-8,0.00004420315,0.00001104108,0.9924229,0.005999478],"study_design_scores_gemma":[0.000553793,0.001600061,0.00006612804,0.0007319697,0.0000555491,0.0001432491,0.0000221817,0.000003400383,0.000007089013,0.000262234,0.9960898,0.0004645109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001250661,0.0007582195,0.0001127471,0.0002015198,0.0008074327,0.0001585993,0.996208,0.0002004957,0.000302381],"genre_scores_gemma":[0.0003490555,0.0004999656,0.0000977267,0.0001850343,0.002285404,0.00001123953,0.9955698,0.00005760465,0.000944128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005886681,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09160050151052365,"score_gpt":0.5004170456779918,"score_spread":0.4088165441674682,"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."}}