{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007335899,0.0001112145,0.0001365598,0.00006850146,0.0001152926,0.00006253463,0.000159119,0.00002490051,0.00008972506],"category_scores_gemma":[0.00001844972,0.00009536678,0.00002207529,0.0001249623,0.0001492793,0.0003948919,0.000196016,0.0001574907,0.00002262522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025452,"about_ca_system_score_gemma":0.000001929927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006032293,"about_ca_topic_score_gemma":2.489986e-7,"domain_scores_codex":[0.9989479,0.00002629238,0.000214238,0.0001755969,0.0004209841,0.0002150544],"domain_scores_gemma":[0.9996006,0.00003931571,0.0001251916,0.0000818752,0.000001277464,0.0001516712],"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":[0.00001071174,0.00002853991,0.005763378,0.00004499701,0.000011783,0.00000948578,0.0004037181,0.5635953,0.402397,0.00001276907,0.000006263348,0.02771606],"study_design_scores_gemma":[0.0002495364,0.0002431702,0.01020804,0.00003772749,0.000014067,0.000122995,0.0007360471,0.9841474,0.00374231,0.000001814741,0.0003718464,0.0001249967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870501,0.0001928401,0.0123058,0.000009654645,0.0001324401,0.0001051844,3.533074e-7,0.00001198053,0.0001916683],"genre_scores_gemma":[0.9983112,0.00004949903,0.001524467,0.000006720174,0.00001345851,0.00000138409,8.568928e-8,0.000009137385,0.0000840529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4205522,"threshold_uncertainty_score":0.3888944,"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."}}