{"id":"W4377970556","doi":"10.1109/iccci56745.2023.10128340","title":"Sensor Based Sewage Segmentation","year":2023,"lang":"en","type":"article","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Garbage; Reuse; Waste management; Process (computing); Municipal solid waste; Computer science; Environmental science; Construction waste; Process engineering; Engineering","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":[0.0001675476,0.00005948128,0.00004314832,0.0000298506,0.00005814399,0.00001831667,0.0001072531,0.00001558201,0.01303746],"category_scores_gemma":[0.00000789749,0.00005257592,0.00002282043,0.000349096,0.00002895595,0.00006946225,0.0001515952,0.00002801261,0.01647159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687109,"about_ca_system_score_gemma":0.000001182996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984558,"about_ca_topic_score_gemma":0.00005458342,"domain_scores_codex":[0.999337,0.00002705257,0.00008429387,0.0001577782,0.0002181981,0.0001756981],"domain_scores_gemma":[0.9997238,0.00002234416,0.0000185239,0.0001874205,0.000001080719,0.00004682997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001146786,0.00006890714,0.03163866,0.00001773565,0.00001253342,0.00004089108,0.0004099763,0.7970327,0.007730522,0.0003999099,0.1486218,0.01401486],"study_design_scores_gemma":[0.0006365391,0.00005709803,0.06753498,0.000005174373,0.00001415661,6.185316e-7,0.00136635,0.8249739,0.006848819,0.0002304553,0.09803263,0.0002992449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5805155,9.556929e-7,0.004869429,0.001865112,0.000145326,0.000391865,0.000003154277,0.0003863,0.4118223],"genre_scores_gemma":[0.9649204,0.000001982358,0.002734003,0.001422552,0.00001590018,0.00002451219,0.0000197556,0.0000114134,0.03084945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3844049,"threshold_uncertainty_score":0.9878647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033926557697641,"score_gpt":0.2544841733651604,"score_spread":0.234144907788184,"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."}}