{"id":"W4234705120","doi":"10.1515/iupac.88.1437","title":"Trisomy","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":[0.0008334066,0.001231568,0.001196901,0.003524564,0.0006081156,0.001554018,0.001386262,0.001022803,0.1113435],"category_scores_gemma":[0.007783445,0.000450325,0.0009469363,0.005419189,0.0003343054,0.001208312,0.001395125,0.001311261,0.04024159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000945742,"about_ca_system_score_gemma":0.001569346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287911,"about_ca_topic_score_gemma":0.02563448,"domain_scores_codex":[0.9988397,0.000129344,0.0003253241,0.0004153429,0.0001850271,0.0001053479],"domain_scores_gemma":[0.9976668,0.0007797921,0.0005071089,0.000434,0.0004513196,0.000160943],"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":[0.0002548555,0.00001423256,0.007104416,0.002277418,0.0001116664,0.0001911594,0.00004962099,0.0001799476,0.0002075386,0.001605931,0.9702358,0.01776749],"study_design_scores_gemma":[0.0004309701,0.00003321476,0.03413366,0.002258768,0.0001353037,0.001408349,0.0001210844,0.0001655534,0.0003547539,0.004033566,0.9568739,0.00005085889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005833154,0.0006589522,0.0001744488,0.0001645386,0.00006179619,0.00004289884,0.9937622,0.0001581649,0.004393624],"genre_scores_gemma":[0.002101392,0.0008207004,0.0006306006,0.0003514733,0.0000371125,0.000221066,0.9932845,0.00006687516,0.002486334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113435,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552336887993564,"score_gpt":0.4517735430797478,"score_spread":0.4262501741998121,"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."}}