{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002557311,0.0002494338,0.0002820079,0.0001159324,0.00139413,0.0001964756,0.0004478805,0.0001019009,0.0019989],"category_scores_gemma":[0.00005228783,0.0002502349,0.000113543,0.0005100613,0.0001184709,0.001234101,0.0005687964,0.0002875016,0.0001004362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316846,"about_ca_system_score_gemma":0.00002435801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529941,"about_ca_topic_score_gemma":0.000891861,"domain_scores_codex":[0.9978108,0.0001781675,0.0005796269,0.0003432732,0.0004776838,0.0006104535],"domain_scores_gemma":[0.9987586,0.0002538379,0.0002110224,0.0005725687,0.00002688004,0.0001771422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004731206,0.005735803,0.4723145,0.001038112,0.0003644722,0.00001008055,0.1802554,0.1498729,0.1140203,0.006006413,0.01004636,0.05986251],"study_design_scores_gemma":[0.001526242,0.0008927401,0.05275407,0.00008165801,0.00009266357,9.442077e-7,0.03661316,0.8881031,0.009710112,0.0008494906,0.008817115,0.000558735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8994914,0.000009402599,0.09618368,0.00002185037,0.0002285989,0.0008873375,0.0003070395,0.00009435918,0.002776327],"genre_scores_gemma":[0.9960266,0.0000136056,0.002548747,0.00007299447,0.00004826369,0.00001619452,0.0004919759,0.00003245784,0.0007492001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7382302,"threshold_uncertainty_score":0.999995,"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."}}