{"id":"W3049126557","doi":"10.25105/psia.v1i2.6605","title":"ANALISIS BENDUNGAN KERING (DRY DAM) CIAWI SEBAGAI UPAYA PENGENDALIAN BANJIR DKI JAKARTA","year":2019,"lang":"id","type":"article","venue":"Prosiding Seminar Intelektual Muda","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"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":[0.001249965,0.0005304901,0.0005507449,0.001183063,0.001361654,0.001694651,0.0005647259,0.0005688792,0.008391239],"category_scores_gemma":[0.002552998,0.0004009533,0.0005746635,0.001642543,0.0009100907,0.0006663332,0.001366935,0.001278006,0.001240719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581002,"about_ca_system_score_gemma":0.002642615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07579745,"about_ca_topic_score_gemma":0.1624606,"domain_scores_codex":[0.9986683,0.0002859024,0.0001133973,0.0001740237,0.0005020329,0.0002562627],"domain_scores_gemma":[0.9987329,0.0002054115,0.0002885996,0.00007427006,0.0005652192,0.0001336898],"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":[0.0006886489,0.0004066994,0.8447677,0.002212657,0.0003396163,0.003108882,0.026613,0.0005526198,0.01962386,0.003274187,0.01026887,0.0881433],"study_design_scores_gemma":[0.00001253042,0.0003772967,0.8947766,0.0007297349,0.0002113857,0.00187371,0.04251113,0.0004296668,0.007831448,0.0005931964,0.050584,0.00006930861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505171,0.004862986,0.003277169,0.001349591,0.0001273593,0.0005257246,0.006308374,0.00006967998,0.03296204],"genre_scores_gemma":[0.9404399,0.004234402,0.007024132,0.0007596784,0.00003508959,0.0004489281,0.00320019,0.00005067639,0.04380696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07579745,"threshold_uncertainty_score":0.1507125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963878772670368,"score_gpt":0.2588133955600078,"score_spread":0.2391746078333041,"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."}}