{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004381656,0.0001604499,0.0003187962,0.00005034079,0.0001845532,0.0000286352,0.0005254573,0.0000576536,0.1486473],"category_scores_gemma":[0.004778605,0.0001562022,0.00003573808,0.0002675938,0.0003883294,0.0003594143,0.0004997449,0.0001806466,0.000003765433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001939044,"about_ca_system_score_gemma":0.000168107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007629367,"about_ca_topic_score_gemma":0.00002716878,"domain_scores_codex":[0.9979516,0.0005464516,0.000380471,0.0006265932,0.0002502006,0.000244725],"domain_scores_gemma":[0.9935967,0.005844749,0.0002057161,0.0001958436,0.0000584264,0.00009850668],"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":[0.007068205,0.002306787,0.00170738,0.001503525,0.0001318801,0.0007225855,0.002703408,0.3798802,0.0314253,0.0009774361,0.2272243,0.3443489],"study_design_scores_gemma":[0.0007634923,0.002422441,0.001952067,0.0001475608,0.0000622162,0.0004295903,0.0006450324,0.9732498,0.002861707,0.006966042,0.01010521,0.000394847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6815332,0.0000434526,0.006361146,0.00006750834,0.000142606,0.0007037739,0.3108248,0.000005616199,0.0003178696],"genre_scores_gemma":[0.4062229,0.000006600096,0.5909984,0.000142283,0.00004392846,0.0002786226,0.002181939,0.00001752472,0.0001078735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5933695,"threshold_uncertainty_score":0.852131,"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."}}