{"id":"W2982368795","doi":"10.1680/jenes.19.00023","title":"Automatic waste detection by deep learning and disposal system design","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Deep learning; Computer science; Architecture; Municipal solid waste; Government (linguistics); Artificial intelligence; Waste management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005486366,0.0005458637,0.0004753846,0.0004880716,0.0003246221,0.0007789526,0.001129063,0.0009823027,0.002846998],"category_scores_gemma":[0.0007627571,0.0003950062,0.0005289145,0.0003538617,0.0003167852,0.0008276118,0.0006044506,0.0009173226,0.0009538712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000941917,"about_ca_system_score_gemma":0.001054017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003865677,"about_ca_topic_score_gemma":0.004615231,"domain_scores_codex":[0.9997907,0.00002596559,0.00001445853,0.0000629428,0.00005707794,0.00004887818],"domain_scores_gemma":[0.9997717,0.00005145744,0.00002344427,0.00002317503,0.0001159279,0.00001424443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003664851,0.000393381,0.002581271,0.0002147634,0.0001289068,0.000161464,0.00006661637,0.3695357,0.06042887,0.005180126,0.00598694,0.5549555],"study_design_scores_gemma":[0.000007108158,0.00004674133,0.0003182068,0.000008101762,0.00001167495,0.0000241449,0.000005084635,0.9841696,0.01334359,0.001100494,0.0009571922,0.000008038438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04102551,0.0004000262,0.9483523,0.0003571457,0.0001182178,0.0001606118,0.0002201329,0.005653888,0.00371225],"genre_scores_gemma":[0.6985922,0.0002987172,0.2909878,0.0004405228,0.00006519946,0.0003979087,0.0006740477,0.0001178516,0.008425721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003865677,"threshold_uncertainty_score":0.009524107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002611406076973724,"score_gpt":0.1638314337059213,"score_spread":0.1612200276289476,"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."}}