{"id":"W2982503935","doi":"10.2196/14019","title":"Visual Analytic Tools and Techniques in Population Health and Health Services Research: Protocol for a Scoping Review","year":2019,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Canadian Institute for Health Information; University of Waterloo; BC Centre for Disease Control; University of British Columbia; McMaster University; University of Calgary; Canadian Institutes of Health Research; Impact; Université de Sherbrooke; University of Toronto; University Health Network; Institute of Health Services and Policy Research; Ontario Neurotrauma Foundation; Toronto Rehabilitation Institute","funders":"","keywords":"Protocol (science); Population health; Population; Computer science; Data science; Psychology; Applied psychology; Medical education; Medicine; Alternative medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1416382,0.004852819,0.009398915,0.02281001,0.005382666,0.008982486,0.005570128,0.00767416,0.1059153],"category_scores_gemma":[0.1802712,0.004779634,0.01332468,0.02167234,0.005525742,0.008570749,0.008508077,0.008416805,0.021768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01540555,"about_ca_system_score_gemma":0.08037223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006316818,"about_ca_topic_score_gemma":0.009697732,"domain_scores_codex":[0.9180725,0.03834542,0.02793574,0.004493744,0.007698481,0.003454107],"domain_scores_gemma":[0.8414798,0.06350783,0.02047342,0.01674371,0.05385213,0.003943056],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.006829171,0.0007304229,0.001341093,0.6345989,0.001362688,0.001494928,0.009432875,0.003561755,0.003439429,0.02137947,0.1743686,0.1414607],"study_design_scores_gemma":[0.01153593,0.00139102,0.004314923,0.3817372,0.001747281,0.0006620493,0.006642692,0.001562706,0.002279421,0.02712302,0.5605123,0.0004914552],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002830826,0.00110364,0.002811029,0.0006517484,0.0004372731,0.9873618,0.00587929,0.0001325544,0.001339587],"genre_scores_gemma":[0.0001965042,0.0005577328,0.004749318,0.0001188351,0.00002547287,0.9934949,0.0005452504,0.00001165807,0.0003003008],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8583618,"threshold_uncertainty_score":0.7490633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7429640043698736,"score_gpt":0.7362142141202958,"score_spread":0.006749790249577892,"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."}}