{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006319077,0.001312938,0.001256896,0.004089353,0.0006327946,0.002037861,0.001351948,0.001073623,0.08925747],"category_scores_gemma":[0.007052487,0.000476369,0.001427767,0.004993503,0.0003767029,0.001832631,0.001800851,0.001471862,0.05421093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319372,"about_ca_system_score_gemma":0.002544657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02149039,"about_ca_topic_score_gemma":0.03494394,"domain_scores_codex":[0.9991705,0.0001230558,0.0002221607,0.0002657732,0.0001398336,0.00007872342],"domain_scores_gemma":[0.9972532,0.001005563,0.0005150498,0.0004988848,0.0005724416,0.0001549305],"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":[0.0005951856,0.00002228111,0.006038858,0.007014821,0.0001883415,0.0003020716,0.0000798728,0.0004972215,0.0004984075,0.001524464,0.9417521,0.04148634],"study_design_scores_gemma":[0.0002787111,0.00003467942,0.02066664,0.003696619,0.0001650543,0.001073005,0.0001395948,0.0003204309,0.0005115274,0.00319326,0.9698614,0.00005902641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006125923,0.001274913,0.0003758843,0.0001527847,0.00007223644,0.00007515572,0.9917123,0.0003322322,0.005391964],"genre_scores_gemma":[0.003103515,0.001969108,0.001466629,0.0003048742,0.00004494352,0.0004263623,0.9890884,0.0001319784,0.003464242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08925747,"threshold_uncertainty_score":0.298596,"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."}}