{"id":"W6977172887","doi":"10.6084/m9.figshare.19418218.v1","title":"Additional file 1 of 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":"article","venue":"Figshare","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incidence (geometry); Hereditary spastic paraplegia; Paraplegia; Disease; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003186996,0.0008132732,0.0007052567,0.001447333,0.000444807,0.001068556,0.001691566,0.001095045,0.6561689],"category_scores_gemma":[0.03440377,0.0005762746,0.001226283,0.002835585,0.0001952931,0.0009315144,0.0007277012,0.0009899088,0.07926065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008917858,"about_ca_system_score_gemma":0.001381658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628465,"about_ca_topic_score_gemma":0.01882443,"domain_scores_codex":[0.999154,0.0003673679,0.00009394653,0.0002107187,0.0001059734,0.00006800109],"domain_scores_gemma":[0.9747863,0.02201573,0.0007057321,0.00108423,0.001228322,0.0001797583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003066424,0.00009733543,0.01535265,0.00135392,0.0002440282,0.0001216954,0.000148478,0.01217304,0.0001113194,0.004005353,0.9449725,0.02111297],"study_design_scores_gemma":[0.004285616,0.000478642,0.05294491,0.002654456,0.0009454724,0.0008963923,0.0007948088,0.07011069,0.001297375,0.04538363,0.8199854,0.0002226213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007507387,0.00002357685,0.004854051,0.0001422994,0.00002047728,0.0001037043,0.9918976,0.0006335089,0.001574],"genre_scores_gemma":[0.05317948,0.0002077223,0.03910101,0.0005665174,0.00009205377,0.00395294,0.8850008,0.002174877,0.01572448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6561689,"threshold_uncertainty_score":0.4904333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332353725551186,"score_gpt":0.3134661826140057,"score_spread":0.180230810058887,"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."}}