{"id":"W2623470272","doi":"10.29103/tj.v3i2.36","title":"STUDI ANALISA KAPASITAS DEBIT TERHADAP KEBUTUHAN AIR BERSIH PROYEKSI TAHUN 2009 - 2014 PADA IPA BANTUAN OXFAM (PDAM TIRTA MON PASE) KABUPATEN ACEH UTARA","year":2017,"lang":"id","type":"article","venue":"Teras Jurnal Jurnal Teknik Sipil","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Humanities; 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":[0.002394377,0.0005024665,0.0007141049,0.00083317,0.0009008612,0.001874414,0.0005593331,0.0007942679,0.01301797],"category_scores_gemma":[0.004776997,0.0004781126,0.001271893,0.001089586,0.0004903259,0.001348821,0.0009419067,0.001349192,0.002455571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105372,"about_ca_system_score_gemma":0.00182345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140602,"about_ca_topic_score_gemma":0.02455952,"domain_scores_codex":[0.9985183,0.0003907679,0.0001485584,0.0003560467,0.0003611218,0.0002251934],"domain_scores_gemma":[0.9969886,0.001263774,0.0006836082,0.0001294243,0.0006896331,0.0002449498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006120422,0.001944084,0.6495632,0.01105441,0.001922399,0.001093374,0.0248106,0.0003994393,0.006257006,0.002084655,0.01637089,0.2783795],"study_design_scores_gemma":[0.0001678737,0.004105339,0.8404087,0.003228136,0.002755813,0.001105805,0.03476176,0.0004440388,0.00543389,0.001353067,0.1061161,0.0001194429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417813,0.02563421,0.001451822,0.001782251,0.0004140987,0.0004881716,0.007592004,0.0000638124,0.02079231],"genre_scores_gemma":[0.9457321,0.01397577,0.002093406,0.0008875873,0.0001124121,0.00055604,0.002839945,0.00005477267,0.03374798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301797,"threshold_uncertainty_score":0.04354942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266196187995245,"score_gpt":0.2802894692668899,"score_spread":0.2536698504673654,"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."}}