{"id":"W3217652106","doi":"10.20527/jukung.v7i2.11953","title":"PENGOPTIMALAN LUASAN LAHAN PERTANIAN TERHADAP KETERSEDIAN AIR PADA DAERAH IRIGASI TAMPA KABUPATEN BARITO TIMUR","year":2021,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Forestry; Environmental science; Physics; 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":[0.0004191813,0.0007541085,0.000641417,0.0006855933,0.001318576,0.002774186,0.0007062827,0.0006282734,0.01979019],"category_scores_gemma":[0.0003519586,0.0004557614,0.0008341005,0.0006259895,0.0005773511,0.001285004,0.001322133,0.001092095,0.00453961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566554,"about_ca_system_score_gemma":0.001951445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008100393,"about_ca_topic_score_gemma":0.02787333,"domain_scores_codex":[0.9995378,0.00004416507,0.00002164808,0.0001474372,0.000139966,0.0001089523],"domain_scores_gemma":[0.9997653,0.00004323638,0.00002713234,0.00002349229,0.00008969616,0.00005105901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001368748,0.0007473768,0.02654756,0.001805995,0.0001992773,0.001012682,0.002018546,0.01099909,0.6273203,0.01036242,0.005575608,0.3120424],"study_design_scores_gemma":[0.0001470695,0.002442947,0.1302674,0.0004194963,0.0005504502,0.001401584,0.009039777,0.01503927,0.4028825,0.009880529,0.4276668,0.0002620946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7504456,0.005879197,0.05346928,0.001157594,0.0004648842,0.0003193875,0.001707788,0.001127718,0.1854285],"genre_scores_gemma":[0.8586178,0.002092197,0.03060318,0.0002845802,0.00005810096,0.0002125346,0.001231963,0.0005207953,0.1063789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01979019,"threshold_uncertainty_score":0.06620473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212883726197662,"score_gpt":0.2199725952342069,"score_spread":0.2078437579722303,"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."}}