{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000413806,0.0001686694,0.0001700614,0.0001908216,0.0009966225,0.0002454247,0.001674685,0.00003185738,0.0002858409],"category_scores_gemma":[0.00002856649,0.0001754271,0.0001051444,0.0005811349,0.0000385307,0.000333424,0.0008023435,0.0005888283,0.0001049935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344446,"about_ca_system_score_gemma":0.0001563439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002683023,"about_ca_topic_score_gemma":0.00005219944,"domain_scores_codex":[0.9981862,0.00013822,0.0002791379,0.0004876632,0.0004892105,0.000419614],"domain_scores_gemma":[0.9987749,0.00006117259,0.000156213,0.0007715848,0.00002971235,0.0002064382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003291761,0.0006010892,0.01940005,0.00003170525,0.0001489173,0.0002766125,0.005999996,0.002745625,0.003549032,0.3207458,0.177449,0.4690193],"study_design_scores_gemma":[0.0007574436,0.0003571547,0.04361431,0.00002207564,0.00003182329,0.0004242586,0.0006785517,0.03899102,0.0002084338,0.002694075,0.9115613,0.0006595952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4269827,0.0008922964,0.388128,0.05360205,0.005697134,0.001179815,0.0003170522,0.002432232,0.1207687],"genre_scores_gemma":[0.9841706,0.000004123685,0.01157861,0.001323369,0.0002315088,0.0000758774,0.00006542795,0.00002168288,0.002528857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7341123,"threshold_uncertainty_score":0.7665315,"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."}}