{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01908782,0.0001854582,0.0002118709,0.001114166,0.007595055,0.0005288065,0.002781172,0.00008340156,0.0001886582],"category_scores_gemma":[0.002614475,0.000160315,0.00004273469,0.001297661,0.000271071,0.003295981,0.002007187,0.001587321,0.00005389094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593348,"about_ca_system_score_gemma":0.001455088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02557224,"about_ca_topic_score_gemma":0.01691476,"domain_scores_codex":[0.9912043,0.001558412,0.000869296,0.0008063061,0.004355123,0.001206547],"domain_scores_gemma":[0.9939622,0.0004444831,0.000483212,0.0006125225,0.003416655,0.001080933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003671134,0.001137075,0.8221229,0.0004244625,0.0001070742,0.0009872159,0.09592176,0.00001411557,0.0001352329,0.00508639,0.0381332,0.0355635],"study_design_scores_gemma":[0.006857166,0.003689043,0.1467915,0.001356806,0.00004982542,0.0003668206,0.4350865,0.02406249,0.00003972803,0.001103259,0.3797236,0.0008731983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811197,0.00009197916,0.0002234959,0.1056529,0.00547213,0.004909614,0.002176166,0.00004340955,0.0003105579],"genre_scores_gemma":[0.9890434,0.0001353468,0.0004902661,0.004235933,0.003862234,0.0007137271,0.001210067,0.0000198685,0.000289164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6753313,"threshold_uncertainty_score":0.9936969,"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."}}