{"id":"W3049126557","doi":"10.25105/psia.v1i2.6605","title":"ANALISIS BENDUNGAN KERING (DRY DAM) CIAWI SEBAGAI UPAYA PENGENDALIAN BANJIR DKI JAKARTA","year":2019,"lang":"id","type":"article","venue":"Prosiding Seminar Intelektual Muda","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002893272,0.001466751,0.0017041,0.0008959153,0.0007862517,0.001818137,0.004032061,0.0008258825,0.0006996812],"category_scores_gemma":[0.001314447,0.001578298,0.000670216,0.002261233,0.0002926527,0.00181963,0.002211835,0.002304336,0.006368982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009000095,"about_ca_system_score_gemma":0.0005921467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009674245,"about_ca_topic_score_gemma":0.00008385046,"domain_scores_codex":[0.9895652,0.00100651,0.001923821,0.003025791,0.001939697,0.002538969],"domain_scores_gemma":[0.993084,0.001267472,0.001184694,0.002947727,0.0005939186,0.0009222042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003167228,0.001218641,0.3129084,0.004235911,0.001457663,0.0007142854,0.13811,0.001003492,0.4359709,0.003580723,0.03549362,0.06498969],"study_design_scores_gemma":[0.004272297,0.003912091,0.0304109,0.01331421,0.000583632,0.0007109969,0.02261401,0.3119366,0.4359123,0.0001309142,0.1675642,0.008637884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688958,0.002602664,0.003722493,0.001086303,0.01264226,0.002605507,0.00007087488,0.001148691,0.007225404],"genre_scores_gemma":[0.9742162,0.0001276371,0.004236649,0.0002913355,0.001460082,0.0001236473,0.00007124688,0.0002786686,0.01919448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3109331,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963878772670368,"score_gpt":0.2588133955600078,"score_spread":0.2391746078333041,"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."}}