{"id":"W4242715179","doi":"10.1515/iupac.88.0908","title":"Hydromicrocephaly","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","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":[0.0009706547,0.001280253,0.001717911,0.004015361,0.0005947156,0.001743437,0.001604742,0.001150252,0.0596147],"category_scores_gemma":[0.01031401,0.0003687638,0.00130439,0.004945245,0.0004373423,0.001451571,0.001507254,0.001334168,0.02771982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019926,"about_ca_system_score_gemma":0.002536337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008724979,"about_ca_topic_score_gemma":0.01920303,"domain_scores_codex":[0.998947,0.0001454818,0.0003749559,0.0002635969,0.0001706566,0.00009839446],"domain_scores_gemma":[0.9956511,0.001315407,0.001154013,0.0007936246,0.0008599791,0.0002258803],"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":[0.0003964999,0.00002440106,0.007998854,0.006536894,0.0002010923,0.0002348683,0.00005176993,0.0002624722,0.0001481014,0.001019971,0.963014,0.02011107],"study_design_scores_gemma":[0.0005919003,0.00005626815,0.03936776,0.009866124,0.0002514039,0.001660838,0.0002258641,0.0003827639,0.0005153405,0.003876806,0.9431037,0.0001011445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005740447,0.0006517312,0.0001442429,0.0001103879,0.00004889375,0.00008260076,0.9959946,0.000171799,0.002221742],"genre_scores_gemma":[0.002497956,0.001080247,0.0005779294,0.0002209794,0.00003685542,0.0004314427,0.9938285,0.00006650318,0.001259667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0596147,"threshold_uncertainty_score":0.199431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699940889230565,"score_gpt":0.4165671764988167,"score_spread":0.3895677676065111,"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."}}