{"id":"W4399900842","doi":"10.35580/jes.v6i1.52056","title":"KAJIAN PENGARUH PERUBAHAN LAHAN TERHADAP BENCANA BANJIR DI KECAMATAN MANGGALA KOTA MAKASSAR","year":2023,"lang":"id","type":"article","venue":"Jurnal Environmental Science","topic":"Water and Land Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography; Forestry","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","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001970472,0.0007993682,0.0005412689,0.0004007543,0.002045431,0.0006570865,0.002682582,0.0001854592,0.007532917],"category_scores_gemma":[0.00004029544,0.0007111124,0.0003080508,0.001618874,0.003106387,0.001645693,0.003219163,0.0006699738,0.013454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827594,"about_ca_system_score_gemma":0.00007199519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008143721,"about_ca_topic_score_gemma":0.0002592371,"domain_scores_codex":[0.9914634,0.0001839053,0.000801135,0.001951363,0.003146454,0.002453735],"domain_scores_gemma":[0.9971795,0.0000766085,0.0002828093,0.001201627,0.000005851341,0.00125359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001518932,0.00170699,0.3320031,0.0001922452,0.0001809957,0.001719041,0.00959737,0.002571844,0.5471583,0.0005930865,0.04148006,0.06264504],"study_design_scores_gemma":[0.0007948449,0.0004248655,0.8759659,0.00008551488,0.0000964197,0.0000853246,0.003215197,0.003145741,0.01177553,0.000132849,0.1031833,0.00109448],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524957,0.0001710981,0.00004954148,0.002244614,0.001471462,0.0009023891,0.0001235288,0.0001893557,0.0423523],"genre_scores_gemma":[0.9638128,0.0007999113,0.0001201178,0.0007903148,0.0002635493,0.00004683995,0.00006293054,0.0000759884,0.03402749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5439628,"threshold_uncertainty_score":0.9996066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00988591297625199,"score_gpt":0.2125198474253263,"score_spread":0.2026339344490743,"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."}}