{"id":"W4406014923","doi":"10.1109/impact63555.2024.10818926","title":"Gen5 CEM RX Compliance Simulation Methodology","year":2024,"lang":"en","type":"article","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Compliance (psychology); Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003200114,0.0000585312,0.00006060573,0.00002364285,0.00003719215,0.00003633813,0.0001035651,0.00003134251,0.002365353],"category_scores_gemma":[0.00001624986,0.00004718117,0.00002956639,0.0001357508,0.00004335206,0.0001008867,0.00009887898,0.00005509509,0.001876308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003615574,"about_ca_system_score_gemma":8.804686e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009214582,"about_ca_topic_score_gemma":0.000009581121,"domain_scores_codex":[0.9994419,0.00005229424,0.00009501045,0.000204351,0.00009391303,0.0001125123],"domain_scores_gemma":[0.9997005,0.0001334181,0.0000104621,0.0001317452,0.000001387931,0.00002249816],"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":[0.00000792885,0.00003054957,0.006094265,0.00004822692,0.00002120114,0.00001989529,0.0001899653,0.09662201,0.007987415,0.009684309,0.04112166,0.8381726],"study_design_scores_gemma":[0.00004489657,0.00004491402,0.008849942,0.0000237613,0.00001227049,0.000002272624,0.00002893967,0.6455265,0.003310595,0.01820666,0.3237855,0.0001636805],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02106385,0.00005477922,0.7276533,0.0004948371,0.0001902752,0.0001203819,5.453128e-7,0.0006106066,0.2498115],"genre_scores_gemma":[0.9236826,0.00001699058,0.06193152,0.0002889109,0.00003107357,0.000006410604,0.000002018228,0.000007541933,0.01403296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9026187,"threshold_uncertainty_score":0.9989008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1928957437586654,"score_gpt":0.3968703388158613,"score_spread":0.2039745950571959,"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."}}