{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07326939,0.001729124,0.00125479,0.01524538,0.002332089,0.0149901,0.002272217,0.001815513,0.01018473],"category_scores_gemma":[0.2113594,0.001219581,0.002518551,0.01854134,0.004315725,0.007957266,0.006677181,0.003854554,0.001401745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005266362,"about_ca_system_score_gemma":0.008770353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004996931,"about_ca_topic_score_gemma":0.005610779,"domain_scores_codex":[0.915992,0.07026617,0.004125621,0.002290449,0.006864284,0.0004614423],"domain_scores_gemma":[0.620855,0.3447886,0.006588325,0.01330949,0.01344721,0.00101146],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001721503,0.0003044648,0.01165396,0.01338594,0.0008200904,0.0003768444,0.02898889,0.009936271,0.002313767,0.3069774,0.02858653,0.5964838],"study_design_scores_gemma":[0.000319181,0.0003888241,0.01334358,0.02643231,0.0005478443,0.000719967,0.0230732,0.04937666,0.006101989,0.56011,0.3191907,0.0003956963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01702241,0.02474137,0.8888853,0.02828383,0.001114195,0.002379732,0.003350983,0.002823538,0.03139867],"genre_scores_gemma":[0.09764901,0.01379559,0.8808042,0.001325118,0.0003896354,0.003108316,0.0009963037,0.0004797907,0.001452039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9267306,"threshold_uncertainty_score":0.3874902,"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."}}