{"id":"W4255940058","doi":"10.1515/iupac.88.1440","title":"Trisomy 18","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Prenatal Screening and Diagnostics","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; 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":[0.0009132704,0.001247701,0.001407526,0.004759905,0.0006197784,0.001541583,0.001610131,0.001037513,0.08787954],"category_scores_gemma":[0.01024496,0.0005156089,0.001003371,0.007223775,0.0003233428,0.001223022,0.001477147,0.001427059,0.03635706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796213,"about_ca_system_score_gemma":0.00194218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553608,"about_ca_topic_score_gemma":0.02739041,"domain_scores_codex":[0.9987154,0.0001567527,0.0003919572,0.0003878519,0.0002255969,0.0001225242],"domain_scores_gemma":[0.9961637,0.001237831,0.0008205608,0.0006524766,0.0008901846,0.0002352188],"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":[0.000163696,0.00001224017,0.004659914,0.002308904,0.00007321742,0.0001100731,0.00004033317,0.0001307869,0.0001539594,0.0009251754,0.9793288,0.01209307],"study_design_scores_gemma":[0.000367337,0.00002731255,0.03245149,0.002955776,0.0001107541,0.0008287332,0.0001286446,0.0001539149,0.0003382029,0.00229969,0.960286,0.00005212247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003164174,0.0003890006,0.0001083578,0.0001066402,0.00004375625,0.00003378897,0.9968575,0.0001087856,0.002035607],"genre_scores_gemma":[0.001032179,0.0006338082,0.0004008902,0.0002012447,0.00002606652,0.0002096215,0.9961415,0.00004592603,0.001308808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08787954,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283493594922234,"score_gpt":0.4599498555001482,"score_spread":0.4271149195509258,"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."}}