{"id":"W3107592974","doi":"10.23889/ijpds.v5i3.1369","title":"Impact through Engagement","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Ulster University; Queen's University Belfast; Health and Social Care Northern Ireland; UK Research and Innovation","keywords":"Public engagement; General partnership; Publics; Public relations; Work (physics); Key (lock); Community engagement; Business; Political science; Knowledge management; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06673706,0.001594306,0.001335837,0.004062037,0.007226706,0.02645729,0.003446111,0.005430308,0.09132851],"category_scores_gemma":[0.1400904,0.0007040211,0.002178967,0.003180756,0.01043859,0.01824599,0.04289002,0.007218732,0.01425564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009620795,"about_ca_system_score_gemma":0.02698376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703769,"about_ca_topic_score_gemma":0.003482358,"domain_scores_codex":[0.8623258,0.09796951,0.003991788,0.007173722,0.01794458,0.01059459],"domain_scores_gemma":[0.8891602,0.05864948,0.005953346,0.0134204,0.01516776,0.01764888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002107288,0.0004382538,0.01336267,0.002332705,0.0002461754,0.0005014188,0.02390672,0.00117702,0.0004313074,0.5492247,0.1493067,0.2588616],"study_design_scores_gemma":[0.00008759812,0.0002137311,0.004268469,0.002604143,0.0001203982,0.0002055601,0.01482701,0.0004235664,0.0003524476,0.2143049,0.7625428,0.00004932001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01353431,0.002701343,0.02134347,0.114656,0.002179182,0.001318815,0.001649148,0.0005919446,0.8420258],"genre_scores_gemma":[0.7800057,0.005873157,0.02603486,0.04271359,0.002874066,0.004920238,0.002681484,0.001071517,0.1338254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09132851,"threshold_uncertainty_score":0.3529435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5733097696198401,"score_gpt":0.5698511322761074,"score_spread":0.003458637343732751,"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."}}