{"id":"W7131110270","doi":"10.1109/idicaihei65991.2025.11378087","title":"IoT-Powered Waste Segregation System for Environmental Sustainability","year":2025,"lang":"","type":"article","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Categorization; Garbage; Internet of Things; Sustainability; Participatory sensing; Municipal solid waste; Waste collection; Object (grammar)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744247,0.0004519349,0.0004034002,0.0004157067,0.000424042,0.0005266706,0.0006552022,0.0004719041,0.004899018],"category_scores_gemma":[0.0002939112,0.0001507683,0.00028179,0.000454598,0.0001573366,0.000836207,0.000634299,0.0002803414,0.001421068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027999,"about_ca_system_score_gemma":0.0005388984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557323,"about_ca_topic_score_gemma":0.002937053,"domain_scores_codex":[0.9998535,0.00001194239,0.000009972035,0.00003604463,0.00006170771,0.00002668757],"domain_scores_gemma":[0.9998791,0.00001278636,0.0000153442,0.00002285126,0.00005584181,0.00001402578],"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":[0.001397771,0.0009621558,0.0198219,0.0006082738,0.0001274849,0.001202011,0.0002131443,0.03901049,0.3280793,0.004657052,0.02632717,0.5775932],"study_design_scores_gemma":[0.0001296658,0.0005252426,0.01298456,0.0001059018,0.0001693456,0.0007306918,0.0001957237,0.5809099,0.3420296,0.004841942,0.05729165,0.00008586257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5016818,0.001252043,0.4054415,0.001287477,0.0007463592,0.0004546752,0.001742325,0.03139915,0.05599467],"genre_scores_gemma":[0.9529248,0.0002605185,0.03306808,0.0004533969,0.0000441468,0.0001190666,0.001174897,0.0001446058,0.01181041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004899018,"threshold_uncertainty_score":0.01638889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005919997367622575,"score_gpt":0.2366843575193379,"score_spread":0.2307643601517153,"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."}}