{"id":"W4250885288","doi":"10.1515/iupac.87.0364","title":"Meningocele","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Spinal Dysraphism and Malformations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002592387,0.0003155349,0.0005776542,0.0003298814,0.00009961413,0.00002325239,0.0001840003,0.0003118759,0.005403499],"category_scores_gemma":[0.0003669199,0.0002181025,0.000202401,0.000200443,0.0001161886,0.00008950382,0.00009466978,0.0003952669,0.00001452064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426911,"about_ca_system_score_gemma":0.0008351366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006450609,"about_ca_topic_score_gemma":0.0001006872,"domain_scores_codex":[0.9980195,0.00002115495,0.0004109374,0.0003031227,0.0008913334,0.0003539913],"domain_scores_gemma":[0.9983355,0.00003435336,0.0001780947,0.0007505624,0.0004538436,0.0002476644],"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":[0.0002035321,0.0001611198,0.000006541122,0.0002307192,0.0001109478,0.00008593789,0.000007513915,6.137983e-8,0.00001845235,0.00002663631,0.9968491,0.002299502],"study_design_scores_gemma":[0.001504385,0.0005006331,0.0001115949,0.0006686375,0.0003440908,0.0001362658,0.00001832164,0.000001786834,0.00002785684,0.00007290935,0.9963607,0.0002527728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001286625,0.000587386,0.0001351691,0.001792224,0.0005340445,0.0003459954,0.9958987,0.00009503385,0.0004827554],"genre_scores_gemma":[0.00002099896,0.001196491,0.0001132569,0.0009572814,0.001056672,0.00002006027,0.9946895,0.00003146646,0.00191422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005388978,"threshold_uncertainty_score":0.9955057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608523377999249,"score_gpt":0.419110204365656,"score_spread":0.4030249705856636,"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."}}