{"id":"W4401639247","doi":"10.2196/56673","title":"Public Involvement and Engagement in Big Data Research: Scoping Review","year":2024,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"Research Data Management Practices","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Public engagement; Big data; Context (archaeology); Public involvement; Public relations; Political science; Data science; Psychology; Computer science; Geography; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07338975,0.002256215,0.005005701,0.02630261,0.004068151,0.0132984,0.003559825,0.007182371,0.009311073],"category_scores_gemma":[0.2754357,0.002100495,0.00627338,0.03297923,0.004751282,0.01327316,0.009251084,0.005419176,0.001755867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00976909,"about_ca_system_score_gemma":0.05186359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008348231,"about_ca_topic_score_gemma":0.0121178,"domain_scores_codex":[0.9154305,0.04681213,0.01881682,0.003544788,0.01319008,0.002205729],"domain_scores_gemma":[0.640829,0.3023539,0.02332701,0.006794358,0.02439385,0.002301933],"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":[0.000164052,0.0000896601,0.001295102,0.6953179,0.001319342,0.0002288743,0.005583704,0.0005002794,0.0001853334,0.01270957,0.02025308,0.2623531],"study_design_scores_gemma":[0.00002351978,0.00004897869,0.0008679789,0.9055411,0.001542573,0.0001671813,0.002627902,0.0001028414,0.0001266922,0.003196016,0.08572508,0.00003016813],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008951717,0.9851832,0.001558301,0.00544813,0.001030617,0.0008924513,0.0003211682,0.0000285632,0.004642409],"genre_scores_gemma":[0.01180102,0.9810444,0.002050912,0.001500975,0.0004048832,0.002334443,0.0003902499,0.00002927381,0.0004439175],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9266102,"threshold_uncertainty_score":0.3881267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9326184401024001,"score_gpt":0.5924566690299097,"score_spread":0.3401617710724905,"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."}}