{"id":"W7089567632","doi":"10.23960/jrl.v2i2.26","title":"PEMODELAN ELEVASI DAN KECEPATAN BANJIR PADA TIKUNGAN LUAR DEKAT OUTLET BANGUNAN GORONG-GORONG BBA.4B DAERAH IRIGASI BUMI AGUNG","year":2025,"lang":"id","type":"article","venue":"Jurnal Rekayasa Lampung","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Hydrology (agriculture); Statistical analysis; Watershed; Air temperature","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002270067,0.001168889,0.00127776,0.0004377109,0.001611853,0.0006668477,0.002477108,0.0008424429,0.001575696],"category_scores_gemma":[0.0007794022,0.001129349,0.0006804308,0.001143842,0.001069261,0.001249758,0.00192423,0.002584751,0.001881588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752854,"about_ca_system_score_gemma":0.0006909785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381144,"about_ca_topic_score_gemma":0.01000489,"domain_scores_codex":[0.9902154,0.001049106,0.00138312,0.001988371,0.001794026,0.003569996],"domain_scores_gemma":[0.9955259,0.0005886454,0.0005166506,0.001744895,0.0001103983,0.001513526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001207925,0.002311317,0.5253739,0.0009030275,0.001512507,0.003071831,0.003554673,0.001114993,0.2845885,0.005266839,0.06770153,0.1033929],"study_design_scores_gemma":[0.004707075,0.0013522,0.6127085,0.0008761914,0.0005078866,0.000409855,0.001542184,0.01373473,0.03342116,0.00154188,0.326556,0.002642338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435867,0.00286272,0.0009012061,0.004972057,0.002152671,0.001463652,0.0001030723,0.0002182423,0.04373966],"genre_scores_gemma":[0.9490842,0.001811091,0.0006327182,0.001499436,0.0005725513,0.00007406573,0.0001658304,0.0001512694,0.04600881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2588545,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077392860022306,"score_gpt":0.2675184942114042,"score_spread":0.2567445656111811,"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."}}