{"id":"W4405857436","doi":"10.22214/ijraset.2024.66093","title":"Intelligent Waste Management Classification","year":2024,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","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":"Scalability; Sustainability; Upload; Business; Circular economy; Architecture; Computer science; Environmental economics; Waste management; Engineering; Database; World Wide Web; Economics","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":[0.002918335,0.00007411672,0.0000622989,0.00143386,0.0001290463,0.0002770619,0.0009457854,0.00004272846,0.00003596741],"category_scores_gemma":[0.00006694809,0.00006704043,0.00001577124,0.001324855,0.0003829794,0.0001562489,0.0007219811,0.0003799227,0.00005702171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008431195,"about_ca_system_score_gemma":0.00001928058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007333552,"about_ca_topic_score_gemma":0.000004151902,"domain_scores_codex":[0.9982149,0.000005698176,0.0001929152,0.0003097434,0.000872561,0.0004041588],"domain_scores_gemma":[0.9996763,0.00004981132,0.00001640237,0.000140522,0.00004055327,0.00007640893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002309709,0.00004620969,0.0001177953,0.0000410568,0.00003064684,0.000086335,0.0002060909,0.03815132,0.01926549,0.5314441,0.001562056,0.4090258],"study_design_scores_gemma":[0.0002046752,0.00005652149,0.0002768916,0.0001175649,0.000003162938,0.00006461266,0.001182219,0.741485,0.002152539,0.03748906,0.2168255,0.0001422379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6383786,0.0009652803,0.1884685,0.04831873,0.006829144,0.003567759,0.0000106669,0.0005904658,0.1128709],"genre_scores_gemma":[0.995138,0.0002825913,0.004181367,0.00002301122,0.00005883718,0.0001292053,6.373118e-7,0.000009420348,0.0001769246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7033337,"threshold_uncertainty_score":0.2733829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06851874944555904,"score_gpt":0.3836638879791188,"score_spread":0.3151451385335598,"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."}}