{"id":"W4241617664","doi":"10.1515/iupac.88.1046","title":"Mesothelium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Infections and bacterial resistance","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; Data mining; Philosophy","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":[0.001066173,0.001076624,0.001437561,0.003415324,0.0007661737,0.002840621,0.001980194,0.00145909,0.09148707],"category_scores_gemma":[0.00944032,0.0006183591,0.001810789,0.005280104,0.0003689468,0.001791969,0.002099075,0.001741965,0.07380728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222918,"about_ca_system_score_gemma":0.002581821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002114,"about_ca_topic_score_gemma":0.01777603,"domain_scores_codex":[0.9984173,0.0002454068,0.0004247206,0.0004403924,0.0003126697,0.0001595685],"domain_scores_gemma":[0.9959441,0.001143679,0.0008036496,0.001036054,0.0008615819,0.000210899],"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":[0.0003811537,0.00002173486,0.006076796,0.007929619,0.0001748346,0.000143457,0.00007109533,0.0004490921,0.0005953693,0.001749791,0.9539874,0.0284196],"study_design_scores_gemma":[0.0001579463,0.00002196685,0.01061115,0.002295671,0.0001333196,0.0003138222,0.00007314159,0.0001872687,0.0004342715,0.002083938,0.9836601,0.00002743429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004144743,0.00130638,0.0003115365,0.0002273887,0.00008689216,0.00005288799,0.9930385,0.000384814,0.004177117],"genre_scores_gemma":[0.002305224,0.001481718,0.001068509,0.0004246404,0.00004497143,0.0002261606,0.991244,0.0001315179,0.003073416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09148707,"threshold_uncertainty_score":0.3060548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008962699826506233,"score_gpt":0.4011340827741638,"score_spread":0.3921713829476576,"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."}}