{"id":"W4382992196","doi":"10.53810/jt.v23i2.454","title":"OPTIMASI POLA OPERASIONAL WADUK PENJALIN KECAMATAN PAGUYANGAN KABUPATEN BREBES TERHADAP KEBUTUHAN IRIGASI","year":2023,"lang":"id","type":"article","venue":"Teodolita Media Komunkasi Ilmiah di Bidang teknik","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Environmental science; Environmental engineering; Hydrology (agriculture); 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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.005136466,0.002273773,0.002537608,0.002041655,0.001389035,0.002096135,0.00781464,0.00141064,0.0006860711],"category_scores_gemma":[0.003376875,0.002196158,0.001070291,0.004566582,0.001158778,0.002128348,0.003952553,0.002823515,0.01667926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007994,"about_ca_system_score_gemma":0.001607581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772598,"about_ca_topic_score_gemma":0.000338459,"domain_scores_codex":[0.9820158,0.002599935,0.002919935,0.003812286,0.004220756,0.004431225],"domain_scores_gemma":[0.9872982,0.003574065,0.001230006,0.004846554,0.0008141066,0.002237084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007887551,0.003522071,0.1223964,0.004543241,0.002833483,0.0100285,0.1783185,0.00180786,0.1471902,0.02800607,0.3802438,0.1203211],"study_design_scores_gemma":[0.01029866,0.001605443,0.569056,0.006124711,0.0006869512,0.001428304,0.01237101,0.1771044,0.01566043,0.001004751,0.1952592,0.009400089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105907,0.005846189,0.003798571,0.02217578,0.03052643,0.005084827,0.0008362109,0.009498439,0.01164286],"genre_scores_gemma":[0.9527605,0.0007264256,0.01251974,0.0007782458,0.005251294,0.0004286167,0.001260552,0.000702998,0.02557162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4466597,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538153908589625,"score_gpt":0.2819099804475297,"score_spread":0.2365284413616334,"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."}}