{"id":"W4414365307","doi":"10.30574/ijsra.2025.16.3.2622","title":"A review on real-time waste tracking and route optimization using cloud-based IoT systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Science and Research Archive","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waste collection; Data collection; TOPSIS; Sustainability; Truck; Multiple-criteria decision analysis; Decision support system; Smart city; Sustainable development","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":[],"consensus_categories":[],"category_scores_codex":[0.004118379,0.00007766068,0.0001533293,0.0008829955,0.0002784136,0.0006523523,0.001228135,0.00001856254,0.000002502465],"category_scores_gemma":[0.0006664058,0.00005658095,0.00003933271,0.0004968341,0.0005421909,0.000324361,0.000347826,0.0002784085,0.000001308224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496545,"about_ca_system_score_gemma":0.0006367788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008015722,"about_ca_topic_score_gemma":7.689138e-7,"domain_scores_codex":[0.9977272,0.0001494405,0.0003162766,0.000235891,0.001342635,0.000228554],"domain_scores_gemma":[0.9976901,0.000301626,0.000185307,0.0001281077,0.001575299,0.0001194994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007561908,0.0007093466,0.001180416,0.001517303,0.0004364654,0.0009117639,0.004662916,0.3832107,0.2240992,0.2250511,0.01899529,0.1384693],"study_design_scores_gemma":[0.0003047242,0.0001946532,0.0001184649,0.007194565,0.000005044807,0.0001060054,0.00007295464,0.9883898,0.001423723,0.001269776,0.0008509473,0.00006937711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5236497,0.009038655,0.4136844,0.0368645,0.004727698,0.0009854698,0.00002318381,0.0000494388,0.01097695],"genre_scores_gemma":[0.9354345,0.005029681,0.0567472,0.001978645,0.0004924025,0.000004719172,9.735371e-7,0.000009433101,0.0003024083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6051791,"threshold_uncertainty_score":0.6290648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016622143518734,"score_gpt":0.3764074279996065,"score_spread":0.3362412065644191,"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."}}