{"id":"W6939780077","doi":"10.6084/m9.figshare.19418218","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":"Open MIND","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":[0.003195258,0.0007576575,0.0006374831,0.001252632,0.0004299247,0.0009619307,0.001532777,0.0010276,0.6015145],"category_scores_gemma":[0.03595752,0.00049536,0.001056493,0.002465972,0.0001769935,0.0007816789,0.0006695192,0.0009737561,0.05100543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000878309,"about_ca_system_score_gemma":0.001477956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960813,"about_ca_topic_score_gemma":0.02055035,"domain_scores_codex":[0.9991291,0.0003922293,0.00010153,0.0002015972,0.0001102619,0.00006536033],"domain_scores_gemma":[0.9760399,0.02092697,0.0007724586,0.0009253442,0.001169078,0.0001662422],"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":[0.0003526885,0.0001320376,0.0214159,0.001625134,0.0002940926,0.000151089,0.0002163766,0.01376077,0.0001257918,0.005175629,0.9287484,0.02800209],"study_design_scores_gemma":[0.004732209,0.0006009711,0.07052115,0.003141266,0.001170823,0.001117287,0.001108768,0.08573839,0.001419886,0.05043418,0.7797766,0.0002383516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0009281054,0.00002203999,0.005671412,0.0001503139,0.00001862631,0.0001327107,0.9911044,0.0004470871,0.001525421],"genre_scores_gemma":[0.07097285,0.0002116781,0.04986122,0.0005818899,0.00009234349,0.005636765,0.8559785,0.001546084,0.01511865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6015145,"threshold_uncertainty_score":0.5683912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386990270772547,"score_gpt":0.3454145450606453,"score_spread":0.2067155179833906,"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."}}