{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099583,0.001210532,0.001529313,0.004354151,0.0006301825,0.002368984,0.001584083,0.001398859,0.1213721],"category_scores_gemma":[0.01333646,0.0004328043,0.001716767,0.005376876,0.0003720114,0.001904522,0.002014167,0.001383293,0.05951643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141168,"about_ca_system_score_gemma":0.002394679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170533,"about_ca_topic_score_gemma":0.01633359,"domain_scores_codex":[0.9983606,0.0002292523,0.0006074863,0.000381949,0.0002922801,0.0001285013],"domain_scores_gemma":[0.9932575,0.002232495,0.001578897,0.001189269,0.001460532,0.0002812204],"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":[0.0002946808,0.00002141179,0.003966667,0.00707412,0.000111354,0.00009252915,0.00003488697,0.0001805577,0.0001565159,0.000948729,0.9683629,0.01875575],"study_design_scores_gemma":[0.0003752848,0.00004034707,0.01659927,0.005155143,0.0001397961,0.0004925758,0.0001148545,0.0001948053,0.0002986108,0.002328808,0.9742057,0.00005478276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00026398,0.0005351459,0.0001289651,0.0001173903,0.00005712704,0.0000581329,0.9962955,0.0001933689,0.002350349],"genre_scores_gemma":[0.001491139,0.0008892015,0.0006038056,0.0003317669,0.00004867144,0.0003480531,0.9944194,0.00008373849,0.001784171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1213721,"threshold_uncertainty_score":0.4060301,"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."}}