{"id":"W4300055388","doi":"10.31227/osf.io/nka8s","title":"APLIKASI PEMODELAN HEC-HMS UNTUK IDENTIFIKASI KEJADIAN BANJIR BANDANG DI DAS CIMANUK HULU, KABUPATEN GARUT","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319054,0.0009958878,0.0008094585,0.001558263,0.001351248,0.003054991,0.0006722523,0.001201651,0.01163672],"category_scores_gemma":[0.001727653,0.0004848609,0.0008195014,0.001538403,0.0006547594,0.001497591,0.001149153,0.001182986,0.002225024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789889,"about_ca_system_score_gemma":0.002426755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03633591,"about_ca_topic_score_gemma":0.05358578,"domain_scores_codex":[0.9983588,0.0002635836,0.00009594192,0.0003464755,0.0006612039,0.0002739375],"domain_scores_gemma":[0.9989716,0.0001968115,0.0001396107,0.00007054098,0.0005562672,0.00006528468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001662949,0.0006279265,0.3767251,0.004659028,0.0005509893,0.00282228,0.003901907,0.002983775,0.29003,0.004033506,0.01365038,0.2983522],"study_design_scores_gemma":[0.00008168218,0.001718079,0.3023863,0.002243896,0.001236019,0.005012435,0.01764764,0.007103849,0.3176855,0.002903892,0.3417699,0.000210819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638291,0.02487621,0.01999775,0.002996974,0.0007818954,0.001027701,0.0100801,0.0004430428,0.07596713],"genre_scores_gemma":[0.921416,0.008113755,0.02151687,0.001386539,0.0001031687,0.0002682367,0.00467836,0.0001662365,0.04235082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03633591,"threshold_uncertainty_score":0.07224882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175597762481908,"score_gpt":0.2519607869506518,"score_spread":0.234401010702461,"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."}}