{"id":"W3178442531","doi":"10.32672/jse.v6i3.3047","title":"Analisis Indeks Kebutuhan Lahan dan Biaya dari Perencanaan IPAL Terpadu di Kawasan Aerocity X","year":2021,"lang":"en","type":"article","venue":"Jurnal Serambi Engineering","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Wastewater; Environmental science; Environmental engineering; Forestry; Geography","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":[0.001266932,0.0005417094,0.0005009928,0.002332258,0.0008557368,0.002274022,0.0004008881,0.0004090821,0.01295487],"category_scores_gemma":[0.0014421,0.0002310207,0.0005182961,0.002865902,0.0005347255,0.001167533,0.0006474159,0.0007386457,0.002711182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006326453,"about_ca_system_score_gemma":0.0006678639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440721,"about_ca_topic_score_gemma":0.00874354,"domain_scores_codex":[0.9991696,0.0001268073,0.00006442853,0.0001611493,0.0003695748,0.0001084263],"domain_scores_gemma":[0.9989268,0.0004329938,0.0001021346,0.00004549667,0.000444278,0.00004820121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002028691,0.001090174,0.2625408,0.003504233,0.0005255751,0.004636466,0.02260245,0.001684712,0.1375479,0.005984204,0.01343862,0.5444161],"study_design_scores_gemma":[0.00002698723,0.0009921694,0.7518741,0.0003859706,0.0004687468,0.003112637,0.04526109,0.003292708,0.06355895,0.002335052,0.1285511,0.0001403621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439099,0.004130769,0.004676591,0.0003802843,0.0001378272,0.000221174,0.002699039,0.0001750248,0.04366928],"genre_scores_gemma":[0.9583295,0.002096528,0.008560967,0.00009740003,0.00002735795,0.0001429836,0.001915791,0.0000784845,0.02875097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295487,"threshold_uncertainty_score":0.0433383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005898011356401906,"score_gpt":0.1844144994535217,"score_spread":0.1785164880971198,"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."}}