{"id":"W4390760437","doi":"10.51583/ijltemas.2023.12913","title":"Use of Artificial Intelligence for Waste Management","year":2023,"lang":"en","type":"article","venue":"International Journal of Latest Technology in Engineering Management & Applied Science","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metropolitan area; Work (physics); Solid waste management; Environmental planning; Business; Human health; Municipal solid waste; Engineering; Waste management; Environmental resource management; Environmental science; Geography; Environmental health; Medicine; Archaeology","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":[0.001144579,0.0001543706,0.0001992198,0.001891379,0.00004539296,0.00005978703,0.00183123,0.00005322688,0.00003102595],"category_scores_gemma":[0.00008190809,0.0001554842,0.00005412961,0.002619756,0.0003333417,0.0003052478,0.001193425,0.0001674618,0.00003953714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072926,"about_ca_system_score_gemma":0.000007371479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007346159,"about_ca_topic_score_gemma":0.000004255007,"domain_scores_codex":[0.9977815,0.000004968407,0.0007092114,0.0003067649,0.0008076588,0.0003899508],"domain_scores_gemma":[0.9992372,0.00007229646,0.0002850773,0.0002965822,0.0000567191,0.00005214322],"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":[0.00003352289,0.0000815329,0.0003769323,0.00003224682,0.00006002631,0.00008061877,0.00008292495,0.851387,0.004932382,0.1061916,0.0001540226,0.03658719],"study_design_scores_gemma":[0.0007315665,0.000227832,0.005591989,0.000399559,0.00008547328,0.00002963049,0.002280141,0.9139627,0.03117093,0.03372355,0.01116521,0.0006313928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.773795,0.00001921266,0.2158291,0.002788541,0.001899539,0.001449353,0.000009393012,0.0002043773,0.004005481],"genre_scores_gemma":[0.9729266,0.00008952233,0.02677575,0.00003214839,0.00002494983,0.00004911879,0.000001478325,0.00001485135,0.00008558219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991316,"threshold_uncertainty_score":0.6340463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278240190232894,"score_gpt":0.2616884411667074,"score_spread":0.2389060392643784,"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."}}