{"id":"W4395955857","doi":"10.18280/ijsdp.190427","title":"Community Engagement for Disaster Preparedness in Rural Areas of Mount Merapi, Indonesia","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Islam Indonesia; Universitas Gadjah Mada","keywords":"Preparedness; Disaster mitigation; Mount; Emergency management; Environmental planning; Lahar; Geography; Political science; Economic growth; Engineering; Geology; Volcano; Seismology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780618,0.00007124659,0.0001216938,0.0003676269,0.0001633878,0.0001785227,0.0003036448,0.00003015982,0.00001490067],"category_scores_gemma":[0.000100566,0.00006092759,0.00003511914,0.0001421191,0.00006146297,0.0004953589,0.0000994883,0.0001466409,3.038771e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011632,"about_ca_system_score_gemma":0.0002608527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891144,"about_ca_topic_score_gemma":0.00004908266,"domain_scores_codex":[0.9989476,0.0001067012,0.0003442527,0.00006015927,0.0003681788,0.0001731271],"domain_scores_gemma":[0.9993209,0.0001884197,0.0001254558,0.00003228575,0.000292055,0.00004083972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004081622,0.0001727894,0.05879537,0.0003624677,0.0003396356,0.0005042666,0.8487638,0.0005410202,0.00005764313,0.0554752,0.001714542,0.03286506],"study_design_scores_gemma":[0.0005874024,0.00005029863,0.03163223,0.0008195589,0.00001637103,0.000005629484,0.8760419,0.0001909129,0.00008867416,0.002836368,0.08759762,0.0001330674],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944819,0.0004935137,0.001451408,0.0005104091,0.0004648155,0.0001661943,0.000001123623,0.000006784594,0.002423871],"genre_scores_gemma":[0.9979159,0.00003925648,0.0005056849,0.00003618658,0.0000854592,0.000009378108,0.00000536263,0.000004528079,0.001398202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08588308,"threshold_uncertainty_score":0.2484555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495184644766616,"score_gpt":0.3321867268303657,"score_spread":0.2972348803826995,"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."}}