{"id":"W4403820398","doi":"10.18280/ijdne.190515","title":"Integrating Object-Based Classification and Multivariate Analysis to Evaluate Flood Vulnerability in Unplanned Settlements of Malang City, Indonesia","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Human settlement; Vulnerability (computing); Geography; Multivariate statistics; Multivariate analysis; Research Object; Environmental resource management; Computer science; Environmental science; Computer security; Regional science; Machine learning; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004998334,0.0004048335,0.0002973668,0.002730455,0.0004172505,0.001244004,0.0003673107,0.0002780355,0.0006814848],"category_scores_gemma":[0.001045258,0.000166726,0.0003798956,0.001854975,0.0003288817,0.0006968185,0.000619042,0.0002051854,0.0001464087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006999563,"about_ca_system_score_gemma":0.0005362541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758566,"about_ca_topic_score_gemma":0.02635088,"domain_scores_codex":[0.9996881,0.00008774531,0.00003501756,0.00005557631,0.00007063388,0.00006285981],"domain_scores_gemma":[0.9993587,0.0002190674,0.0001533315,0.00004547269,0.0001551525,0.00006828252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001906555,0.0001718244,0.9580787,0.00002774915,0.00008614344,0.000252071,0.0005799831,0.008739825,0.001677992,0.0002623562,0.0002525706,0.0296802],"study_design_scores_gemma":[0.000006288546,0.00009142895,0.866016,0.00001422654,0.00007248417,0.0001718403,0.003932844,0.1280692,0.000805117,0.0004535976,0.0003457182,0.00002133933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975683,0.00001827365,0.001621727,0.00001707336,0.000003194021,0.00001138836,0.0001344244,0.00002300215,0.0006025569],"genre_scores_gemma":[0.9985908,0.00001194235,0.001088809,0.000001834602,0.000001769056,0.000009767516,0.0001197904,0.00000315902,0.0001721806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01758566,"threshold_uncertainty_score":0.03496659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588052476443426,"score_gpt":0.3122196322257409,"score_spread":0.2963391074613067,"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."}}