{"id":"W4229449496","doi":"10.18280/ts.390234","title":"Automatic Classification and Identification of Road Garbage Images and Evaluation of Environmental Health Based on UNet++","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China","keywords":"Garbage; Identification (biology); Computer science; Quality (philosophy); Artificial intelligence; Segmentation","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":[0.0003939164,0.0005854337,0.0004271776,0.001762493,0.0002402204,0.0005929947,0.000652801,0.0004457133,0.001874293],"category_scores_gemma":[0.000805525,0.0001850782,0.0005680753,0.0006093883,0.0002807629,0.000653738,0.0007597513,0.0003183672,0.0005583027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004145118,"about_ca_system_score_gemma":0.0003808159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005950871,"about_ca_topic_score_gemma":0.006964735,"domain_scores_codex":[0.9995956,0.00003800968,0.000023548,0.0001137662,0.0001710047,0.00005802331],"domain_scores_gemma":[0.9995321,0.0000576226,0.00005250197,0.00004706565,0.0002801616,0.00003055962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006567014,0.0002497042,0.01975041,0.0004920705,0.0001147871,0.000500419,0.0002477483,0.02999421,0.3267347,0.001673893,0.003669802,0.6159155],"study_design_scores_gemma":[0.00003061978,0.0003992398,0.05056129,0.00004036257,0.0001378359,0.0006790307,0.0002361043,0.7301097,0.2113475,0.001084512,0.005294776,0.00007907749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4365034,0.0004271066,0.5412438,0.0001891067,0.0001092169,0.0003577747,0.001229182,0.01025289,0.009687497],"genre_scores_gemma":[0.7976118,0.000230247,0.1965292,0.0001246139,0.00002982991,0.0001586773,0.001570677,0.0002359142,0.003509063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005950871,"threshold_uncertainty_score":0.01183248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610739664642877,"score_gpt":0.2680626546810015,"score_spread":0.2419552580345728,"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."}}