{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008737506,0.00109172,0.0009966817,0.0002257585,0.001032904,0.000800957,0.001269132,0.000458016,0.002678036],"category_scores_gemma":[0.00008850808,0.001010063,0.0005592575,0.0007427949,0.0003520713,0.0008543135,0.001118411,0.001342839,0.002213701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007289824,"about_ca_system_score_gemma":0.000212983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035535,"about_ca_topic_score_gemma":0.00164798,"domain_scores_codex":[0.9930874,0.00049199,0.00122375,0.001766192,0.001474742,0.001955977],"domain_scores_gemma":[0.9967937,0.0001307491,0.0004202478,0.001365845,0.0001009988,0.00118839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007690935,0.004827379,0.0869452,0.001336696,0.002160705,0.01592219,0.03345342,0.00442005,0.7186467,0.0006046052,0.08525047,0.04566347],"study_design_scores_gemma":[0.004128922,0.001240495,0.1693669,0.0009356095,0.001066903,0.0006562442,0.00622264,0.003909437,0.1266447,0.0002607308,0.6820783,0.003489143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494281,0.001664895,0.000322165,0.006931276,0.004045237,0.001035397,0.0001445767,0.000350263,0.03607803],"genre_scores_gemma":[0.951609,0.0006020143,0.001914634,0.002156501,0.001433152,0.0000281955,0.0002112552,0.0001865256,0.04185873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5968279,"threshold_uncertainty_score":0.999235,"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."}}