{"id":"W2891616237","doi":"10.29252/jehe.5.3.299","title":"Selection of Suitable Guidelines for the Application of Sewage Sludge in Agricultural Using Hierarchical Analysis System (AHP)","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Health Engineering","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Selection (genetic algorithm); Agriculture; Environmental science; Sewage sludge; Sewage; Computer science; Agricultural engineering; Environmental engineering; Operations research; Engineering; Biology; Ecology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009849389,0.000103379,0.0002979596,0.0001270618,0.0000645383,0.000006270866,0.0002011911,0.00003869441,0.00003250014],"category_scores_gemma":[0.00002453137,0.00007361277,0.0001223957,0.0004483415,0.00005588376,0.0001424015,0.00008882346,0.0001252876,0.000001215214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136306,"about_ca_system_score_gemma":0.00000793905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004480146,"about_ca_topic_score_gemma":0.0001105258,"domain_scores_codex":[0.9984952,0.00003901576,0.0008209397,0.0001182415,0.0003131007,0.0002134851],"domain_scores_gemma":[0.9991921,0.00007521936,0.0005226181,0.0001306986,0.00001235305,0.00006696703],"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":[0.00002867239,0.00006185494,0.009578934,0.0001026496,0.00008829172,2.391733e-7,0.0002734656,0.9661281,0.02235142,0.00007957165,0.00003898445,0.001267883],"study_design_scores_gemma":[0.0002911084,0.0001949869,0.1372156,0.00005329133,0.0001055937,0.00001153558,0.0005815907,0.8590136,0.001963199,0.000003351875,0.0004926408,0.00007355194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704654,0.0001609385,0.1286667,0.0001484396,0.00009371307,0.0004146033,0.00001050159,0.000004194258,0.00003552607],"genre_scores_gemma":[0.989711,0.00002706719,0.01011324,0.0000234851,0.00009528724,0.000007262529,0.000001995497,0.000009262035,0.00001133929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276366,"threshold_uncertainty_score":0.3001842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276655117375284,"score_gpt":0.2998815927285506,"score_spread":0.2722160809910222,"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."}}