{"id":"W7092505809","doi":"10.1109/access.2025.3623876","title":"WasteSortBot: An Innovative Solution for Multi-Categorical Waste Separator Bin Using Vision-Based Control With Robot Operating System and Cloud Computing","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"United International University","keywords":"Cloud computing; Bin; sort; Sorting; Laptop; Scalability; Categorical variable; Environmental pollution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005829931,0.0002380704,0.0003125591,0.00009747127,0.0005291846,0.0003057227,0.0003986154,0.00007281758,0.000007582371],"category_scores_gemma":[0.00002786388,0.0001983255,0.00002813073,0.0007096181,0.0001337343,0.000494085,0.0001973854,0.0001328535,0.000003206712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004010655,"about_ca_system_score_gemma":0.00003651733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007141509,"about_ca_topic_score_gemma":0.000189842,"domain_scores_codex":[0.9982365,0.000154197,0.0004013724,0.0005543899,0.0002495195,0.0004040194],"domain_scores_gemma":[0.9992208,0.0001264753,0.0002002897,0.000298309,0.00006156608,0.00009259767],"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":[0.00009583354,0.0001116908,0.01116422,0.0001290781,0.00003851524,0.000005673024,0.0002016301,0.9795223,0.006794829,0.0001810449,0.00006085211,0.001694276],"study_design_scores_gemma":[0.002351084,0.0001447138,0.001769838,0.0001539071,0.00004720376,0.000001849383,0.0003616675,0.9918536,0.003034064,0.000003911684,0.00004834871,0.0002298071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4824736,0.00001247384,0.5162441,0.00005357149,0.0002239147,0.000811271,0.000004944311,0.0000404643,0.0001355957],"genre_scores_gemma":[0.9874061,2.438495e-7,0.01203752,0.000343825,0.0001023478,0.00005240485,0.000007049853,0.00002321507,0.00002728787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5049325,"threshold_uncertainty_score":0.808748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288148770504151,"score_gpt":0.3487987461965265,"score_spread":0.305917258491485,"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."}}