{"id":"W4408964273","doi":"10.2196/66781","title":"An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia","year":2025,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Government (linguistics); Process (computing); Environmental economics; Sustainability; Engineering; Technology acceptance model; Knowledge management; Process management; Computer science; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001169591,0.0006122111,0.0003559181,0.0008592972,0.001964559,0.002400759,0.001416577,0.001641078,0.002563482],"category_scores_gemma":[0.001168282,0.0002527893,0.0007153282,0.0008658807,0.00167196,0.002366044,0.002511339,0.001063958,0.0003071814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586439,"about_ca_system_score_gemma":0.002398702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228412,"about_ca_topic_score_gemma":0.02314751,"domain_scores_codex":[0.9992656,0.0003837256,0.00003882331,0.00007861086,0.0001269845,0.0001062721],"domain_scores_gemma":[0.9993018,0.0003522829,0.00006542246,0.00008001544,0.00007820222,0.0001222963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001151317,0.006491916,0.04970284,0.001105803,0.0001469696,0.02667443,0.03071989,0.3975454,0.01729245,0.274618,0.01113273,0.1834183],"study_design_scores_gemma":[0.0001831746,0.0008132586,0.009303477,0.0003594776,0.0001276534,0.002395699,0.0292196,0.8487539,0.01024256,0.03540752,0.06303522,0.000158505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832445,0.0002925825,0.1019806,0.002044097,0.00005444561,0.001144133,0.0002723831,0.0004605919,0.06130622],"genre_scores_gemma":[0.9117729,0.0002727622,0.07747739,0.0001256624,0.000005308682,0.0004542591,0.0001664315,0.00005535173,0.009670024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228412,"threshold_uncertainty_score":0.02442527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186848722204648,"score_gpt":0.2865800339426349,"score_spread":0.2678951617221701,"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."}}