{"id":"W3090869181","doi":"10.23889/ijpds.v5i3.1364","title":"Public engagement can change your research, but how can it change your research institution? ICES Case Study","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public engagement; Public relations; Institution; Active listening; Public institution; Political science; Process (computing); Sociology; Business; Knowledge management; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04987047,0.0005140026,0.00112815,0.002101106,0.0354272,0.01434217,0.003949965,0.007584168,0.007325199],"category_scores_gemma":[0.05971947,0.0006901333,0.001447365,0.004401082,0.0221552,0.01095237,0.01727667,0.01297113,0.001758965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02585379,"about_ca_system_score_gemma":0.0402151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03241912,"about_ca_topic_score_gemma":0.06135537,"domain_scores_codex":[0.9244699,0.05530446,0.001762318,0.002458877,0.007287913,0.008716569],"domain_scores_gemma":[0.9373406,0.02689186,0.00389039,0.005810371,0.007744251,0.01832248],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003279378,0.001460637,0.02715095,0.000939615,0.00006670131,0.0299293,0.52183,0.0007856282,0.0008057659,0.1868864,0.1617003,0.06811678],"study_design_scores_gemma":[0.00005602669,0.0002467265,0.003704215,0.001325753,0.00003006352,0.005567138,0.5308074,0.000441622,0.0006421519,0.01264778,0.4444383,0.00009283843],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3321924,0.005173421,0.0132375,0.394817,0.003278569,0.001652744,0.0005246803,0.0002804065,0.2488433],"genre_scores_gemma":[0.8873077,0.005445218,0.01575953,0.04705494,0.0009545579,0.002150405,0.0003192329,0.0002317906,0.04077665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501295,"threshold_uncertainty_score":0.2637435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9662353567394159,"score_gpt":0.6775910938976282,"score_spread":0.2886442628417877,"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."}}