{"id":"W4234982524","doi":"10.1515/iupac.88.1392","title":"Synophthalmia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ophthalmology and Eye Disorders","field":"Medicine","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":[0.0004233163,0.0005068129,0.00106085,0.0002354906,0.0002808012,0.00004841055,0.0004664202,0.0009473935,0.007359172],"category_scores_gemma":[0.001253581,0.0004398382,0.0003239147,0.00008508776,0.000383451,0.00007255372,0.0001648499,0.001202245,0.00003536665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056676,"about_ca_system_score_gemma":0.001340016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000197526,"about_ca_topic_score_gemma":0.0001050606,"domain_scores_codex":[0.9975782,0.00005362069,0.0004053655,0.000602588,0.0008363699,0.0005238738],"domain_scores_gemma":[0.9971033,0.0000575855,0.0003217438,0.001824269,0.0004137566,0.000279306],"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":[0.000629954,0.0005028115,0.0004506469,0.0004772384,0.0003239111,0.003722001,0.000006973094,2.632118e-7,0.000003097384,0.000002389518,0.9931843,0.0006964641],"study_design_scores_gemma":[0.001729815,0.0007282816,0.0019788,0.000563612,0.0006133485,0.001589403,0.00002843788,0.000002124035,0.000004068043,0.00009241662,0.9922734,0.0003962524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002165254,0.001613082,0.000002311427,0.001132421,0.001288041,0.0004193046,0.9919913,0.00006252574,0.001325743],"genre_scores_gemma":[0.0005211606,0.0006272484,0.00004391777,0.0004209687,0.0008137242,0.00001683627,0.9944789,0.00005043199,0.003026823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007323805,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458634081891486,"score_gpt":0.4777376680128044,"score_spread":0.4531513271938896,"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."}}