{"id":"W4415575137","doi":"10.25144/14875","title":"AN EXAMPLE OF DIGITAL ENGAGEMENT PLATFORM FOR LARGE SCALE COMMUNITY ENGAGEMENT USING AURALIZATION","year":2023,"lang":"","type":"article","venue":"","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Community engagement; Key (lock); Customer engagement","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":[],"consensus_categories":[],"category_scores_codex":[0.001643638,0.0006957438,0.000316401,0.001263681,0.001409037,0.002847325,0.00106998,0.001439817,0.03060661],"category_scores_gemma":[0.002807519,0.0002047662,0.0006046281,0.001028116,0.0007407354,0.002706436,0.004853733,0.001225132,0.007651792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588294,"about_ca_system_score_gemma":0.0007577311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539699,"about_ca_topic_score_gemma":0.002638174,"domain_scores_codex":[0.998719,0.0005630991,0.00005156647,0.0001614191,0.0003092,0.0001957395],"domain_scores_gemma":[0.9975903,0.000994731,0.00007868959,0.0005084093,0.0002568025,0.0005711078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001331731,0.002264771,0.01059124,0.001931011,0.0001182423,0.0052262,0.02380858,0.00404965,0.05143411,0.04456173,0.1171929,0.7374898],"study_design_scores_gemma":[0.0002208267,0.001081487,0.01131847,0.0004947088,0.00008015101,0.001899721,0.00904093,0.02403732,0.01618958,0.02002782,0.9154075,0.0002014493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1469744,0.0006055862,0.4968685,0.004436231,0.001189848,0.003432416,0.003690751,0.03167345,0.3111288],"genre_scores_gemma":[0.5082561,0.0006212836,0.3728787,0.00132276,0.0002576882,0.002962088,0.003035549,0.001980662,0.1086852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03060661,"threshold_uncertainty_score":0.1023893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1919616408858011,"score_gpt":0.3099219645470553,"score_spread":0.1179603236612542,"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."}}