{"id":"W4237888909","doi":"10.1515/iupac.88.0573","title":"Cataract","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001616153,0.001323623,0.00137144,0.004179441,0.0009291716,0.003591686,0.002524914,0.001856118,0.2605756],"category_scores_gemma":[0.01596717,0.0005527381,0.001533378,0.006621221,0.0004280978,0.003256297,0.002609851,0.001524455,0.2354786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572103,"about_ca_system_score_gemma":0.003195498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217064,"about_ca_topic_score_gemma":0.02243503,"domain_scores_codex":[0.9974306,0.0004198236,0.0005236709,0.0008376924,0.000515643,0.0002725342],"domain_scores_gemma":[0.9936884,0.001662501,0.0007338609,0.001554096,0.001989635,0.0003716103],"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":[0.0001183223,0.00001542677,0.00118472,0.001410025,0.00003079033,0.00002975378,0.00003144211,0.0000962381,0.0001038852,0.001181985,0.985662,0.01013535],"study_design_scores_gemma":[0.000090617,0.00001106122,0.001930311,0.000606842,0.0000197086,0.00005612459,0.00007047898,0.00008710016,0.0001477802,0.001319606,0.9956435,0.00001687248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001338803,0.000178708,0.0001794398,0.000173459,0.00007908949,0.00005288864,0.994845,0.0004438569,0.003913598],"genre_scores_gemma":[0.0005694638,0.0002196683,0.0006007256,0.0003193316,0.00002782993,0.0002035073,0.9944883,0.0001482501,0.003422947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2605756,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766433249925533,"score_gpt":0.4557588923230116,"score_spread":0.4380945598237563,"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."}}