{"id":"W7122660472","doi":"10.1145/3777730.3777830","title":"Metal Solid Waste Recycling and Detection Method Based on Convolutional Attention and SCN","year":2025,"lang":"","type":"article","venue":"","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Feature (linguistics); Constant false alarm rate; False alarm; Support vector machine; Pattern recognition (psychology); Feature extraction; Convolutional neural network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005826037,0.0008045937,0.000847958,0.001238947,0.0004291927,0.0007221922,0.001346007,0.0008675688,0.001337463],"category_scores_gemma":[0.0008438766,0.0004236601,0.0009510299,0.0008125756,0.0003934208,0.001239904,0.000819954,0.0006334661,0.0004479085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320739,"about_ca_system_score_gemma":0.001169373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007646658,"about_ca_topic_score_gemma":0.007563294,"domain_scores_codex":[0.9995021,0.00003720798,0.00002635787,0.0001294798,0.0002088062,0.00009611914],"domain_scores_gemma":[0.9996679,0.00005786008,0.00004399937,0.00004005103,0.0001654885,0.00002469744],"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":[0.0006031882,0.0002184753,0.007302877,0.0002996087,0.0001647734,0.0004599369,0.000153207,0.07504566,0.1389706,0.005333283,0.004311275,0.7671371],"study_design_scores_gemma":[0.00002387154,0.0001095516,0.002351079,0.00001436123,0.00009652643,0.0003118055,0.0000269668,0.9223478,0.07094427,0.001297455,0.002436021,0.00004027225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07289095,0.0006898665,0.916848,0.0003169854,0.0001717923,0.00009665242,0.00009859633,0.003447162,0.005439979],"genre_scores_gemma":[0.7884872,0.0006706712,0.1995286,0.0004136596,0.00008619175,0.0001132149,0.0003400326,0.0001390507,0.01022143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007646658,"threshold_uncertainty_score":0.01520431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643817149311133,"score_gpt":0.2704265623664914,"score_spread":0.2617827452171803,"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."}}