{"id":"W4230527269","doi":"10.1515/iupac.87.0102","title":"Blood–Cerebrospinal Fluid Barrier","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Medicine; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0003524001,0.0005970038,0.001173875,0.0002126603,0.0001042271,0.00003192667,0.0003455396,0.0005574042,0.01769934],"category_scores_gemma":[0.001054389,0.0003691739,0.0004127517,0.0002103214,0.0003215058,0.00005583424,0.0001932313,0.0007705209,0.00001760875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006800186,"about_ca_system_score_gemma":0.0009056979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005063878,"about_ca_topic_score_gemma":0.00005969669,"domain_scores_codex":[0.9965361,0.00008058758,0.0005821448,0.0007786187,0.001339836,0.0006827666],"domain_scores_gemma":[0.9977213,0.00006551631,0.0001946704,0.001030919,0.0004227042,0.0005649537],"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":[0.0008200519,0.0006463081,0.0000462012,0.0002150377,0.0002426224,0.000430825,0.000002769183,8.058571e-8,0.0002990972,0.00002035103,0.9918746,0.005402066],"study_design_scores_gemma":[0.003781626,0.001536549,0.0002725161,0.0003080488,0.0009994805,0.0001811099,0.000006345967,4.951768e-7,0.000104524,0.0001685699,0.9922161,0.0004246563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001821262,0.002030114,0.00002274298,0.002328207,0.0009333889,0.0005142298,0.9918162,0.0001217023,0.0004122094],"genre_scores_gemma":[0.00005848574,0.003644538,0.00004739,0.004930928,0.001814862,0.00002818544,0.9859033,0.00005498721,0.003517327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01768173,"threshold_uncertainty_score":0.999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321073232616678,"score_gpt":0.3806808331473508,"score_spread":0.367470100821184,"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."}}