{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001277075,0.0007692689,0.0009356686,0.000563825,0.0008582353,0.0007865918,0.002939124,0.0003859169,0.0001144392],"category_scores_gemma":[0.0002916188,0.0006934145,0.0003198992,0.001079885,0.0003695358,0.001498318,0.0007979349,0.001051263,0.002017162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475376,"about_ca_system_score_gemma":0.0003495273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004618102,"about_ca_topic_score_gemma":0.0001956663,"domain_scores_codex":[0.9936613,0.0007302864,0.001066304,0.001495596,0.00153187,0.001514604],"domain_scores_gemma":[0.9955605,0.0003072631,0.0006570499,0.002041188,0.0006467245,0.0007873136],"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":[0.0006561468,0.002086708,0.08757985,0.000632103,0.001891429,0.005685307,0.05895505,0.001542692,0.1109647,0.06057579,0.1458436,0.5235866],"study_design_scores_gemma":[0.006583155,0.003601512,0.1206772,0.0008843574,0.0002344135,0.003297471,0.0009450932,0.4363281,0.01716064,0.003158526,0.4021417,0.004987862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965751,0.001374402,0.1222711,0.01433157,0.0109879,0.001985761,0.00004971036,0.003622663,0.04880178],"genre_scores_gemma":[0.9834843,0.0000403764,0.009001737,0.0004283374,0.002244655,0.00004390152,0.00002810561,0.0001261542,0.004602464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185988,"threshold_uncertainty_score":0.9995517,"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."}}