{"id":"W4249168211","doi":"10.29122/alami.v2i1.2796","title":"MODEL PENATAAN KAWASAN SITU UNTUK REDUKSI RISIKO BENCANA BANJIR DI JAKARTA","year":2018,"lang":"id","type":"article","venue":"Jurnal Alami Jurnal Teknologi Reduksi Risiko Bencana","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; Geography","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.005120504,0.003409307,0.003815168,0.002629979,0.003493035,0.002888343,0.01218258,0.002544338,0.0008123541],"category_scores_gemma":[0.002466426,0.003219465,0.001789742,0.004551121,0.0031447,0.003537385,0.003632931,0.007238464,0.004084624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731084,"about_ca_system_score_gemma":0.004654624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004012823,"about_ca_topic_score_gemma":0.004189558,"domain_scores_codex":[0.9749387,0.002605195,0.005321609,0.005464695,0.005395096,0.006274737],"domain_scores_gemma":[0.9820945,0.001287341,0.004541157,0.006005665,0.002635185,0.003436166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002360806,0.006266464,0.1235396,0.001807033,0.007537279,0.01250742,0.03941641,0.01653338,0.07759458,0.03326904,0.4513841,0.2277839],"study_design_scores_gemma":[0.007290799,0.006434706,0.09667815,0.003418495,0.001284493,0.005866583,0.002591723,0.7873296,0.01384963,0.004315388,0.06250639,0.008434041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838919,0.006371214,0.0251187,0.01332775,0.01837968,0.003288826,0.0004533755,0.001975845,0.04719267],"genre_scores_gemma":[0.9639527,0.001281191,0.008434948,0.001267853,0.00656864,0.0001177949,0.0001062036,0.0004540554,0.01781667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7707962,"threshold_uncertainty_score":0.9995682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310397080683565,"score_gpt":0.27800469986524,"score_spread":0.2469649917968834,"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."}}