{"id":"W4251024754","doi":"10.1515/iupac.88.1071","title":"Monophthalmos","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":[0.0002032633,0.0008314341,0.001030167,0.00003785489,0.0005179358,0.0002072005,0.001415699,0.0008781153,0.01362362],"category_scores_gemma":[0.001104871,0.0008064336,0.0003872191,0.00004827787,0.0003469313,0.00008315296,0.0006183499,0.001194311,0.00000665083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000391808,"about_ca_system_score_gemma":0.00055521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009877409,"about_ca_topic_score_gemma":0.00006993843,"domain_scores_codex":[0.9968092,0.00001086556,0.0005733097,0.0009052291,0.001072271,0.0006291287],"domain_scores_gemma":[0.9959636,0.00009363121,0.0006261127,0.002654037,0.0004120481,0.0002506043],"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":[0.0001344699,0.0002544195,0.00003119284,0.001692665,0.0003374911,0.0005013385,0.000010473,5.191224e-7,0.0009955876,1.849365e-7,0.9952633,0.0007783732],"study_design_scores_gemma":[0.0007619764,0.00002183242,0.000004814027,0.0006546079,0.0002475943,0.000124604,0.00006142443,0.000002669881,0.00663682,0.00005080495,0.9906086,0.000824295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001369389,0.001574788,9.474496e-7,0.0001826928,0.0003369903,0.00006504863,0.9893029,0.0001095774,0.007057706],"genre_scores_gemma":[0.0003270311,0.0008047337,0.00001696501,0.00004090264,0.00224212,0.00003119931,0.9825378,0.00005166631,0.01394755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01361697,"threshold_uncertainty_score":0.9994386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285443060484062,"score_gpt":0.4222697780729984,"score_spread":0.3994153474681578,"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."}}