{"id":"W4386835670","doi":"10.18280/ria.370404","title":"Improving Waste Classification Using Convolutional Neural Networks: An Application of Machine Learning for Effective Environmental Management","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Machine learning","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":[0.0005703747,0.0006959414,0.0003282724,0.0005663246,0.0002475419,0.0006542163,0.0005029888,0.0006214485,0.0007543564],"category_scores_gemma":[0.0009439412,0.0001799959,0.0003250079,0.0007335134,0.0002419962,0.0008718345,0.0003828904,0.0005057072,0.0002980349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007273341,"about_ca_system_score_gemma":0.000907746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008381706,"about_ca_topic_score_gemma":0.01162288,"domain_scores_codex":[0.9998111,0.0000280276,0.00001151369,0.0000337399,0.0000786477,0.00003694502],"domain_scores_gemma":[0.9997584,0.00007202966,0.00003259434,0.00003041797,0.00009730308,0.000009343862],"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":[0.000157892,0.0002539186,0.007410849,0.0001907899,0.00009417309,0.0002189833,0.00008082331,0.3431568,0.09572933,0.003782394,0.0027732,0.5461509],"study_design_scores_gemma":[0.000003835092,0.0000626736,0.0009955305,0.00001188281,0.00001647186,0.0000383302,0.00001305086,0.961269,0.0345714,0.001039558,0.001967245,0.00001106172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2579692,0.001839211,0.7297686,0.0009016557,0.0001774196,0.00010045,0.0001949404,0.002910243,0.006138154],"genre_scores_gemma":[0.8629325,0.0009761687,0.1320999,0.0001608714,0.00003431768,0.00003192061,0.0002778321,0.00004912729,0.003437361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008381706,"threshold_uncertainty_score":0.01666582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062467251410746,"score_gpt":0.2691370543234096,"score_spread":0.2385123818093022,"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."}}