{"id":"W4237253914","doi":"10.1515/iupac.87.0162","title":"Coronal","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; Chemistry; Linguistics; Philosophy; Organic chemistry; Data mining","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":[0.0003408322,0.000418089,0.0004941109,0.0001213317,0.0001189378,0.0000497991,0.0005065476,0.0002305798,0.008887458],"category_scores_gemma":[0.000607992,0.0003012156,0.0001647305,0.00007811766,0.0001819848,0.00007766033,0.0002513533,0.0004694287,0.00002718047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413875,"about_ca_system_score_gemma":0.0003728847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300904,"about_ca_topic_score_gemma":0.00007487875,"domain_scores_codex":[0.9977312,0.00009716635,0.0003767579,0.0005317833,0.0008546403,0.0004084282],"domain_scores_gemma":[0.9985191,0.0002071587,0.0002725411,0.0005707377,0.0002846463,0.0001458809],"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":[0.0005434273,0.0001426892,0.0000189662,0.00007747329,0.00009293658,0.0005697692,0.000006562293,7.751433e-8,0.00003902906,0.00001583459,0.9944775,0.004015813],"study_design_scores_gemma":[0.0005688419,0.001359744,0.0001628267,0.0005749,0.00005475372,0.0001588026,0.00001327513,0.000004095684,0.000004274208,0.0002316055,0.9964499,0.0004169482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001130709,0.0004612562,0.00008142363,0.0001863274,0.0006845907,0.0001316662,0.9968431,0.0001571994,0.0003237159],"genre_scores_gemma":[0.0003382298,0.0002314664,0.000101194,0.000189947,0.002117534,0.000009145985,0.9955851,0.00004790376,0.001379519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008860277,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086850854997395,"score_gpt":0.5137690428117955,"score_spread":0.4050839573120559,"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."}}