{"id":"W2991185732","doi":"10.32511/juteks.v4i2.613","title":"STUDI PERENCANAAN PENINGKATAN JARINGAN IRIGASI PADA DAERAH IRIGASI KODI DI KABUPATEN SUMBA BARAT DAYA","year":2019,"lang":"id","type":"article","venue":"JUTEKS Jurnal Teknik Sipil","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Environmental science; Physics; Hydrology (agriculture); Mathematics; Geography; Engineering; Geotechnical engineering","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003030792,0.001899015,0.002402747,0.0008030751,0.001251975,0.002748703,0.006309418,0.0009075605,0.0005618303],"category_scores_gemma":[0.0005306594,0.001829897,0.000890945,0.001863848,0.0004805529,0.002322702,0.002544933,0.003706957,0.008438089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223074,"about_ca_system_score_gemma":0.001745619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003766867,"about_ca_topic_score_gemma":0.0008602049,"domain_scores_codex":[0.9857482,0.001560339,0.002564081,0.003413609,0.003520896,0.003192858],"domain_scores_gemma":[0.9903467,0.0009669124,0.001872416,0.004196144,0.0008972737,0.0017206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003719199,0.001630216,0.8199757,0.001498773,0.001870728,0.002254959,0.02809766,0.001430032,0.03623437,0.003369995,0.03069166,0.07257402],"study_design_scores_gemma":[0.009284771,0.003413142,0.4839944,0.003346751,0.0005846987,0.001464728,0.002369545,0.111842,0.00525095,0.0001495373,0.3720156,0.006283872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452295,0.003081427,0.002594986,0.002722969,0.01716523,0.002460845,0.00008993001,0.001003856,0.02565122],"genre_scores_gemma":[0.9385307,0.0001941111,0.001872497,0.0004149922,0.002455292,0.00007897191,0.00007916314,0.0002911545,0.05608308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3413239,"threshold_uncertainty_score":0.9993754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040647677446419,"score_gpt":0.2537742602882775,"score_spread":0.2333677835138133,"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."}}