{"id":"W4247708601","doi":"10.1515/iupac.88.0719","title":"Edema","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical and Chemical Research","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":[0.001732282,0.001517825,0.001498175,0.003676573,0.0009076314,0.003661904,0.002408348,0.001931585,0.2496185],"category_scores_gemma":[0.01594396,0.0005625871,0.001738931,0.005785999,0.0003722108,0.003287436,0.002470988,0.001639052,0.2372786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596206,"about_ca_system_score_gemma":0.002869008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121639,"about_ca_topic_score_gemma":0.02164287,"domain_scores_codex":[0.9973659,0.000487512,0.0005883857,0.0008043611,0.0004944521,0.0002593105],"domain_scores_gemma":[0.9932839,0.002060623,0.0007914105,0.001433041,0.002067483,0.0003635287],"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":[0.0001283645,0.00001502717,0.001139255,0.001597328,0.00003164449,0.00002402679,0.00002783916,0.00009023475,0.00007577701,0.0009421204,0.9873673,0.008561061],"study_design_scores_gemma":[0.000137208,0.00001467766,0.002281844,0.0008253699,0.00002689131,0.00006973532,0.00006917331,0.0001119081,0.0001402133,0.001471382,0.9948323,0.00001933544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001186049,0.0002057894,0.0001394581,0.000178861,0.00007154333,0.00004410723,0.9956949,0.0004026311,0.003144104],"genre_scores_gemma":[0.0005310363,0.0002547047,0.0005411239,0.0004178149,0.0000336202,0.0002114928,0.9950696,0.0001470755,0.002793556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2496185,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469842732845404,"score_gpt":0.5096718823382879,"score_spread":0.4749734550098338,"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."}}