{"id":"W4385077453","doi":"10.1016/j.kjs.2023.02.031","title":"The spatial distribution of a comprehensive drought risk index in Java, Indonesia","year":2023,"lang":"en","type":"article","venue":"Kuwait Journal of Science","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dinosaur Research Institute; Badan Riset dan Inovasi Nasional","keywords":"Java; Hazard map; Vulnerability (computing); Hazard; Index (typography); Geography; Environmental resource management; Water resource management; Environmental science; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000279806,0.000147709,0.0001860682,0.001153038,0.0001410643,0.0006212223,0.0001754474,0.0001238667,0.0007372961],"category_scores_gemma":[0.0007352711,0.0001028319,0.0001659709,0.001780884,0.0001795774,0.000313921,0.0003206283,0.0001208627,0.0001878026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036045,"about_ca_system_score_gemma":0.0003031551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01677953,"about_ca_topic_score_gemma":0.01355755,"domain_scores_codex":[0.9998573,0.0000173708,0.00001959765,0.00004541242,0.00003302409,0.00002733004],"domain_scores_gemma":[0.9994622,0.00008266982,0.0001902909,0.00003385187,0.0001501003,0.00008090356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009382447,0.00004864464,0.9770067,0.00003226431,0.00004702868,0.000190653,0.0003569746,0.003050698,0.003075677,0.0003044851,0.0007281045,0.01506493],"study_design_scores_gemma":[0.000002706468,0.00002036622,0.9930352,0.000003355711,0.00001241818,0.0001188861,0.0004910278,0.005452606,0.0002345094,0.00009238608,0.0005288316,0.000007696699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968923,0.00005602114,0.0005929012,0.00002544176,0.000002310637,0.000009060135,0.001156543,0.00002718345,0.001238454],"genre_scores_gemma":[0.9983553,0.0000410259,0.0005676742,0.000002744491,0.000002056052,0.000007746034,0.0007824876,0.000002748448,0.0002382026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677953,"threshold_uncertainty_score":0.0333637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952233939101995,"score_gpt":0.2408313855136006,"score_spread":0.2328791515744986,"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."}}