{"id":"W4323652916","doi":"10.1186/s40900-023-00418-5","title":"Patient engagement in a national research network: barriers, facilitators, and impacts","year":2023,"lang":"en","type":"article","venue":"Research Involvement and Engagement","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McGill University; Jewish Rehabilitation Hospital; McGill University Health Centre; MAB-Mackay Rehabilitation Centre; Centre for Interdisciplinary Research in Rehabilitation","funders":"Canadian Institutes of Health Research; McGill University Health Centre; Centre for Interdisciplinary Research in Rehabilitation; McGill University","keywords":"Context (archaeology); Psychology; Sample (material); Qualitative research; Public engagement; Medical education; Nursing; Medicine; Public relations; Sociology; Political science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07833362,0.0003043048,0.0003719914,0.001354351,0.005187916,0.0000751065,0.0002592631,0.0001971286,0.0006553404],"category_scores_gemma":[0.001286256,0.0002747811,0.00004596497,0.002027907,0.0003442972,0.0002423931,0.002259799,0.002907416,0.0005006309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942886,"about_ca_system_score_gemma":0.001139354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460493,"about_ca_topic_score_gemma":0.001413574,"domain_scores_codex":[0.9807208,0.009215197,0.001163806,0.0009203277,0.004402726,0.003577145],"domain_scores_gemma":[0.994134,0.003337082,0.0001153774,0.0004022514,0.0008619201,0.00114939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004778502,0.0001868931,0.5702166,0.003835381,0.0001195759,0.0000773355,0.04145025,0.0001157801,0.0003339082,0.03743885,0.3334673,0.01228025],"study_design_scores_gemma":[0.004598161,0.002487906,0.09235319,0.002971001,0.00001019579,5.827267e-7,0.09476388,0.003558589,0.0001024048,0.02294328,0.7755816,0.0006292306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784483,0.001394557,0.000009565778,0.002375116,0.0005753225,0.005554086,0.0001036157,0.0001205501,0.01141892],"genre_scores_gemma":[0.9876862,0.006121444,0.0001904395,0.001183673,0.0003333742,0.002944181,0.0002309064,0.00004251419,0.001267268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4778634,"threshold_uncertainty_score":0.9999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.604786796101201,"score_gpt":0.5526280172580267,"score_spread":0.05215877884317432,"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."}}