{"id":"W2896919064","doi":"10.32679/jth.v9i1.432","title":"Potensi Pasang Surut Lahan Rawa untuk Pengembangan Irigasi di Kabupaten Merauke Menggunakan Pemodelan Hidrodinamika 1D2D","year":2018,"lang":"en","type":"article","venue":"Jurnal Teknik Hidraulik","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Estuary; Hydrology (agriculture); STREAMS; Irrigation; Environmental science; Dry season; Ecology; Geology; Oceanography; Biology","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":[0.0001880052,0.0005539609,0.000357313,0.0003897185,0.0009994131,0.00125405,0.0003794558,0.0003199418,0.02008354],"category_scores_gemma":[0.0001890379,0.0002605725,0.0003497489,0.0005919498,0.0002679096,0.0008675688,0.000992597,0.0004295736,0.002572299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008083057,"about_ca_system_score_gemma":0.001698201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722244,"about_ca_topic_score_gemma":0.04107283,"domain_scores_codex":[0.9999166,0.000009832276,0.000004843806,0.00002357408,0.00002563666,0.00001948475],"domain_scores_gemma":[0.9999405,0.00001033052,0.000007292179,0.000005864143,0.00002279283,0.00001328729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001224306,0.0007212975,0.1061207,0.002030266,0.0002517357,0.007346132,0.004810292,0.09243321,0.04438237,0.0456279,0.04950327,0.6455486],"study_design_scores_gemma":[0.0001355693,0.0004183883,0.100487,0.0004998421,0.0002757777,0.002240113,0.006147504,0.1040313,0.01905308,0.009529665,0.7569807,0.0002011142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944317,0.003906004,0.02884046,0.001246243,0.0006535423,0.0002911791,0.00482226,0.00143959,0.164369],"genre_scores_gemma":[0.8394481,0.002428187,0.0280897,0.0001466601,0.00004357009,0.0002616423,0.003232575,0.0002235916,0.1261261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008354,"threshold_uncertainty_score":0.06718618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772516565658482,"score_gpt":0.2523601666119583,"score_spread":0.2346350009553734,"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."}}