{"id":"W2952507882","doi":"10.29122/alami.v3i1.3403","title":"PENGECEKAN DAN PERBAIKAN SECARA LANGSUNG FLOOD EARLY WARNING SYSTEM (FEWS) DI ALIRAN SUNGAI CIBONGAS, KABUPATEN BOGOR","year":2019,"lang":"id","type":"article","venue":"Jurnal Alami Jurnal Teknologi Reduksi Risiko Bencana","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Universitas Sam Ratulangi; Universitas Riau; London School of Economics and Political Science","keywords":"Physics; Humanities; Operating system; Computer science","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":[0.004694462,0.0024868,0.003390315,0.001665844,0.00169294,0.002791563,0.007410675,0.001813874,0.000240059],"category_scores_gemma":[0.0007483318,0.00228283,0.001528516,0.002647226,0.0005614152,0.002585662,0.002004624,0.00661579,0.003670736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358656,"about_ca_system_score_gemma":0.001591844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004076141,"about_ca_topic_score_gemma":0.0004329611,"domain_scores_codex":[0.9801158,0.003539313,0.003875679,0.00393205,0.004076989,0.004460216],"domain_scores_gemma":[0.9882011,0.001141646,0.003653075,0.003851776,0.001156895,0.00199547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000419418,0.0008226307,0.9050388,0.00203124,0.0025288,0.005972889,0.02021519,0.002177304,0.02712908,0.004975065,0.004548556,0.02414098],"study_design_scores_gemma":[0.006868085,0.004005844,0.8092741,0.006492317,0.0009031969,0.006849691,0.009550169,0.1298304,0.003630267,0.00004865743,0.0173019,0.00524532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651382,0.00537085,0.001295224,0.001726641,0.0118389,0.002373752,0.0001114722,0.001537679,0.0106073],"genre_scores_gemma":[0.9842362,0.0003470428,0.001265686,0.000196977,0.003026408,0.0001001468,0.00008494069,0.0003896879,0.01035286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276531,"threshold_uncertainty_score":0.9996067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391820709841098,"score_gpt":0.2336425392093686,"score_spread":0.2197243321109576,"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."}}