{"id":"W2775735043","doi":"10.21776/ub.pengairan.2017.008.02.10","title":"SIMULASI INDEKS PENGGUNAAN AIR (IPA) GUNA PENGHEMATAN AIR IRIGASI DI D.I. SONOSARI DAN D.I. PAKIS KABUPATEN MALANG","year":2017,"lang":"id","type":"article","venue":"Jurnal Teknik Pengairan","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Environmental science; 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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004489051,0.002015102,0.002469966,0.0007801836,0.005375935,0.003600867,0.01115698,0.001241988,0.0002387552],"category_scores_gemma":[0.002091137,0.001984827,0.001242762,0.0006451252,0.001115046,0.004102579,0.003479718,0.0046147,0.003609652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007921084,"about_ca_system_score_gemma":0.001063993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608839,"about_ca_topic_score_gemma":0.0006478411,"domain_scores_codex":[0.9859908,0.001894023,0.002591226,0.003160938,0.003171676,0.003191332],"domain_scores_gemma":[0.9854426,0.001129203,0.003461356,0.007316664,0.0007382938,0.001911847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009725431,0.003989337,0.6782962,0.003799545,0.00289285,0.009541037,0.07266989,0.00515034,0.01891712,0.005919633,0.02374614,0.1741054],"study_design_scores_gemma":[0.006499758,0.001169256,0.7712042,0.002678511,0.0003643951,0.0008442796,0.001680768,0.1059174,0.005600037,0.0001793076,0.1000274,0.003834689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929852,0.001978029,0.006963898,0.01017409,0.01363376,0.003512671,0.0001635408,0.001660276,0.03206169],"genre_scores_gemma":[0.9793919,0.0001418953,0.002216691,0.0004386364,0.003226191,0.0001047309,0.00005845774,0.0003558142,0.0140657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702707,"threshold_uncertainty_score":0.9992592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541392895344104,"score_gpt":0.300448940088385,"score_spread":0.2650350111349439,"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."}}