{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001890533,0.0002574249,0.0002299382,0.00007866338,0.0001716224,0.0001900545,0.0002801181,0.0000760966,0.0009971607],"category_scores_gemma":[0.00003499085,0.0002674206,0.000108275,0.0005649126,0.00003193528,0.0003260534,0.0006220025,0.0002846902,0.00008256871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785589,"about_ca_system_score_gemma":0.00002123579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005249183,"about_ca_topic_score_gemma":0.001055148,"domain_scores_codex":[0.9982379,0.00002554556,0.000300314,0.0004212836,0.0005071723,0.0005077811],"domain_scores_gemma":[0.9993623,0.00002404819,0.00005775019,0.0002882084,0.0000144391,0.0002532677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003227732,0.0002563659,0.8441415,0.0001031679,0.0002225263,0.000715052,0.001726927,0.04817037,0.05312101,0.0005171032,0.003730661,0.04726305],"study_design_scores_gemma":[0.000386799,0.00004382327,0.955377,0.00005265835,0.00002911724,0.0000303757,0.0002710421,0.01011082,0.005545154,0.00003474558,0.0275989,0.0005194969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863344,0.0000421898,0.00316122,0.0003132393,0.0003531942,0.0001062981,0.000005754161,0.0001239055,0.009559833],"genre_scores_gemma":[0.9974177,0.00002683939,0.001579461,0.0001822095,0.00009682013,0.00001296932,0.00002991477,0.00002990755,0.000624131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112356,"threshold_uncertainty_score":0.9999778,"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."}}