{"id":"W4220774419","doi":"10.30659/jkr.v1i2.20023","title":"KAJIAN KERENTANAN SOSIAL TERHADAP BENCANA BANJIR","year":2022,"lang":"en","type":"article","venue":"Jurnal Kajian Ruang","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Flood myth; Geography; Population; Vulnerability (computing); Social vulnerability; Socioeconomics; Asset (computer security); Demography; Psychology; Sociology","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":[0.0004297688,0.0004653037,0.0002968026,0.0005602615,0.00276017,0.001848066,0.0005011788,0.0005432858,0.02072743],"category_scores_gemma":[0.0004770524,0.0001738167,0.0001974002,0.0007808827,0.0005356172,0.0008608547,0.001010246,0.000897197,0.002367963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248357,"about_ca_system_score_gemma":0.00343975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006984753,"about_ca_topic_score_gemma":0.01468141,"domain_scores_codex":[0.9997832,0.00004035984,0.00001260235,0.00003580605,0.00007411618,0.00005383225],"domain_scores_gemma":[0.9996692,0.00007090635,0.00004206875,0.00001667091,0.0001268869,0.00007424092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008265013,0.0009292928,0.05005722,0.005526476,0.0001515807,0.01577462,0.03737592,0.001735664,0.02527353,0.05445811,0.1073663,0.7005249],"study_design_scores_gemma":[0.00004343654,0.000178514,0.06184474,0.001407653,0.000107038,0.004408177,0.04893605,0.0008641505,0.006626636,0.00322296,0.8722728,0.00008782249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4874841,0.0373762,0.004010906,0.01664565,0.00411723,0.0003935637,0.00106023,0.0004062584,0.4485059],"genre_scores_gemma":[0.8316247,0.02268668,0.005197086,0.00229826,0.0003251054,0.000253028,0.0006166624,0.00007901547,0.1369196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072743,"threshold_uncertainty_score":0.06934017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102894994642588,"score_gpt":0.2402598692315065,"score_spread":0.2299703697672477,"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."}}