{"id":"W4386803069","doi":"10.23977/acss.2023.070716","title":"Research on Hotel Wastewater Treatment System Based on PLC Control","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Control (management); Sewage treatment; Control system; Controller (irrigation); Computer science; Automatic control; Environmental science; Process engineering; Waste management; Engineering; Control engineering; Artificial intelligence","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":[0.0002686303,0.0002768658,0.0003457132,0.0002978253,0.0003430363,0.0006380824,0.0004550256,0.0002919356,0.002424061],"category_scores_gemma":[0.0003047263,0.000129695,0.0003653383,0.0004811704,0.0001990758,0.0007365465,0.0002640097,0.0002449244,0.0005036113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004339038,"about_ca_system_score_gemma":0.0005190473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293689,"about_ca_topic_score_gemma":0.001390696,"domain_scores_codex":[0.9996188,0.0000482014,0.00002266623,0.00008357114,0.0001733875,0.00005337327],"domain_scores_gemma":[0.9998102,0.00002845651,0.00001600737,0.00001510926,0.0001153672,0.00001495688],"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":[0.0008315503,0.0003414051,0.009296412,0.001941609,0.0001113549,0.0005762136,0.0004032034,0.03447831,0.5387671,0.006326008,0.003855482,0.4030714],"study_design_scores_gemma":[0.0003259724,0.002534909,0.02304725,0.0001298029,0.0003582107,0.001124197,0.0007522489,0.4237913,0.4751758,0.001677034,0.07092959,0.0001536345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5303059,0.009248936,0.4174568,0.0008234186,0.0004086324,0.0002950635,0.0002119785,0.002413824,0.03883545],"genre_scores_gemma":[0.9737341,0.002334227,0.01487995,0.000106399,0.00009646895,0.00007329913,0.0001879221,0.00003673373,0.008550896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003293689,"threshold_uncertainty_score":0.008109272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07297706107115055,"score_gpt":0.3366357515943957,"score_spread":0.2636586905232451,"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."}}