{"id":"W4244780927","doi":"10.1515/iupac.88.0600","title":"Choroid Plexus","year":2017,"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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003317907,0.0004741233,0.001119026,0.0001545354,0.0001707476,0.00006186443,0.0004702662,0.0004859248,0.00485423],"category_scores_gemma":[0.001454794,0.0003423032,0.00032512,0.00008775615,0.0002943063,0.00005231344,0.0002077405,0.001009729,0.00001795393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007371672,"about_ca_system_score_gemma":0.0007499984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001536679,"about_ca_topic_score_gemma":0.0002655144,"domain_scores_codex":[0.9973275,0.00004858511,0.0004038282,0.0006194855,0.001088996,0.0005116042],"domain_scores_gemma":[0.9974957,0.00004189437,0.0002867801,0.001483826,0.0003134441,0.0003784335],"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":[0.0004904977,0.0005330464,0.00003274002,0.0001952956,0.0001231272,0.0004926922,0.000003130298,2.464242e-7,0.00001436883,0.000005514115,0.988501,0.009608359],"study_design_scores_gemma":[0.002165699,0.0007356722,0.001045326,0.0001581097,0.0004761463,0.00009901698,0.000006595788,0.000001414557,0.00000846582,0.0001341741,0.9948456,0.0003237732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008098054,0.00212892,0.000005511955,0.001890179,0.001024609,0.0004891658,0.9927474,0.00009197194,0.0008124553],"genre_scores_gemma":[0.00006107649,0.003132396,0.00003723628,0.002944832,0.001393141,0.00001976937,0.9894973,0.00003812923,0.002876103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009284586,"threshold_uncertainty_score":0.9999029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494028949747317,"score_gpt":0.4517957129272029,"score_spread":0.4268554234297298,"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."}}