{"id":"W6920875173","doi":"10.6084/m9.figshare.26729128","title":"Additional file 4 of The IMPACT Survey: the economic impact of osteogenesis imperfecta in adults","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Demographics; Osteogenesis imperfecta; Table (database); Population; Economic impact analysis","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":[0.0009054206,0.0006330901,0.0008337363,0.002023478,0.0005280602,0.0009858687,0.0009688474,0.0007802307,0.7237182],"category_scores_gemma":[0.02179542,0.0003706457,0.0005837089,0.003731596,0.00013325,0.001090472,0.0009137161,0.000739333,0.09090254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317416,"about_ca_system_score_gemma":0.001119311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455628,"about_ca_topic_score_gemma":0.01720357,"domain_scores_codex":[0.9993982,0.0001314524,0.0001592992,0.00009806008,0.0001292876,0.00008366098],"domain_scores_gemma":[0.9888672,0.007086197,0.001336993,0.0004022057,0.001948446,0.0003588769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001355713,0.00006042925,0.006589259,0.001014538,0.00003041969,0.0000345824,0.0000414524,0.000153442,0.00001923035,0.0004742649,0.984839,0.006607772],"study_design_scores_gemma":[0.002610369,0.0002336006,0.1788058,0.006476976,0.0002565177,0.0008787077,0.001068132,0.001484444,0.0004001913,0.009198912,0.798435,0.000151296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003983559,0.00002831582,0.00007882078,0.0001331786,0.00002161569,0.00006111489,0.9973465,0.00005481961,0.001877243],"genre_scores_gemma":[0.01411789,0.0003650412,0.001547425,0.000834858,0.0001701833,0.001475817,0.9692383,0.0002564171,0.01199408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7237182,"threshold_uncertainty_score":0.3940824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870249431002675,"score_gpt":0.3092714906081553,"score_spread":0.2905689962981285,"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."}}