{"id":"W6977785364","doi":"10.6084/m9.figshare.c.5914762","title":"An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epidemiology; Incidence (geometry); Genetic epidemiology; Hereditary spastic paraplegia; Public health; Prevalence; Mendelian inheritance; Genetic counseling","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":[0.007398681,0.001157704,0.001205028,0.003261279,0.000513138,0.002100399,0.002101344,0.001591884,0.003262422],"category_scores_gemma":[0.02006566,0.0007472293,0.003181712,0.002756302,0.0005827558,0.00117969,0.001850476,0.001399601,0.0005248692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738256,"about_ca_system_score_gemma":0.002519831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238199,"about_ca_topic_score_gemma":0.01185275,"domain_scores_codex":[0.9973387,0.001604603,0.0001764846,0.0004713231,0.000245847,0.0001630476],"domain_scores_gemma":[0.9909531,0.006843254,0.0008285851,0.0003953535,0.0008589505,0.0001208435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004452524,0.00005354894,0.01264674,0.000105477,0.0002800714,0.0001077942,0.0001384938,0.9547062,0.0003578518,0.01142714,0.0005747325,0.01955745],"study_design_scores_gemma":[0.00001117719,0.00004393866,0.001274521,0.00003194841,0.00006480954,0.0000523538,0.00004769087,0.9909648,0.0001122842,0.006623262,0.0007593042,0.00001383989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03976754,0.0002859888,0.9560818,0.0002763376,0.00003735079,0.0002014012,0.001138079,0.000320808,0.001890772],"genre_scores_gemma":[0.6079285,0.0007701372,0.3847224,0.0001445864,0.00006985024,0.001225192,0.002679307,0.0001176643,0.002342402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02238199,"threshold_uncertainty_score":0.04450345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05473817572344614,"score_gpt":0.2887036345989257,"score_spread":0.2339654588754795,"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."}}