{"id":"W7133057016","doi":"","title":"Application of Visualization-based Analytic Methods in Population Health and Health Services Research to Rehabilitation Sciences","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"Ontario Neurotrauma Foundation","keywords":"Knowledge translation; Dashboard; Health care; Population; Leverage (statistics); Analytics; Visual analytics; Rehabilitation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01797663,0.0003802308,0.0008981856,0.003917375,0.001176707,0.0003673162,0.001129105,0.0001587549,0.00006511963],"category_scores_gemma":[0.0004451786,0.0004455495,0.0000890325,0.01267383,0.0001760785,0.0005489183,0.0002793694,0.0004066793,0.000006250129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000820338,"about_ca_system_score_gemma":0.002468112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603415,"about_ca_topic_score_gemma":0.005231134,"domain_scores_codex":[0.9898897,0.00401435,0.001810964,0.001620289,0.001943718,0.0007209508],"domain_scores_gemma":[0.995153,0.001221943,0.001565055,0.000880359,0.0007311273,0.0004485238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002188103,0.00168293,0.1184265,0.01366751,0.00005670932,8.809679e-7,0.3084864,0.08473612,0.0004976708,0.2510943,0.0005417758,0.2205903],"study_design_scores_gemma":[0.0004287141,0.001845771,0.05165707,0.0009062495,0.000009786135,5.522185e-7,0.04042302,0.9012099,0.00008816025,0.001425657,0.001653352,0.0003517752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02878291,0.002995769,0.9525481,0.01070009,0.0003834773,0.004270102,0.00004096184,0.000109534,0.0001690546],"genre_scores_gemma":[0.7940892,0.0006932801,0.1961623,0.003275643,0.00006584951,0.0003784519,0.004779997,0.00008506882,0.0004702058],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8164738,"threshold_uncertainty_score":0.9997996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482425852205172,"score_gpt":0.589275130634609,"score_spread":0.4944508721125573,"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."}}