{"id":"W4413062922","doi":"10.1145/3715335.3735462","title":"Recycling Catalytic Converters for Sustainable Resource Management","year":2025,"lang":"en","type":"article","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Converters; Resource management (computing); Computer science; Environmental economics; Business; Engineering; Electrical engineering; Distributed computing; Economics","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":[0.0005773913,0.0004738424,0.000481398,0.001013424,0.0006449841,0.001881906,0.0007048807,0.001063842,0.006712922],"category_scores_gemma":[0.0004640478,0.0003433057,0.0004666879,0.0008878629,0.0006266551,0.001769098,0.0006157063,0.001248428,0.001895501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006992992,"about_ca_system_score_gemma":0.0007166611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005996219,"about_ca_topic_score_gemma":0.00162719,"domain_scores_codex":[0.9996753,0.00005438556,0.00001453542,0.00005004154,0.0001625486,0.0000432687],"domain_scores_gemma":[0.9998896,0.00003418669,0.00001039914,0.00002148422,0.000037536,0.000006829733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003548136,0.0005270614,0.0009883612,0.002201008,0.00009122898,0.0005060171,0.0002143516,0.009258726,0.4387379,0.1399354,0.008123673,0.3990614],"study_design_scores_gemma":[0.00003406566,0.0002796971,0.000798962,0.0002446458,0.00008165383,0.0006853784,0.0002678912,0.0159724,0.8329864,0.02062494,0.1279894,0.00003473741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4137123,0.143225,0.1843431,0.004025914,0.002179193,0.0003446852,0.0003598245,0.001323861,0.2504861],"genre_scores_gemma":[0.8377751,0.04234582,0.03540616,0.0005167802,0.0002777298,0.00009925283,0.0002444106,0.0001447407,0.08318991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006712922,"threshold_uncertainty_score":0.02245694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005287845920833778,"score_gpt":0.2375935622283719,"score_spread":0.2323057163075381,"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."}}