{"id":"W4390992845","doi":"10.26418/uniplan.v4i2.72192","title":"Faktor-Faktor Kerentanan dan Upaya Mitigasi Bencana Banjir di Sub-Daerah Aliran Sungai, Kasus: Kecamatan Tangse, Kabupaten Pidie","year":2023,"lang":"id","type":"article","venue":"UNIPLAN Journal of Urban and Regional Planning","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009976147,0.0007275618,0.0007377097,0.00106772,0.00193783,0.004091383,0.0007209692,0.001072637,0.01944523],"category_scores_gemma":[0.001204279,0.0004096165,0.0007791593,0.001023598,0.0009707627,0.001881892,0.001933484,0.001245025,0.002390567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606815,"about_ca_system_score_gemma":0.002439198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009577683,"about_ca_topic_score_gemma":0.02480211,"domain_scores_codex":[0.9990799,0.0002011797,0.00004702022,0.000210156,0.0003123773,0.0001492467],"domain_scores_gemma":[0.9992033,0.000190905,0.0001457379,0.00007519972,0.0002938286,0.00009098255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002369944,0.001545777,0.1811393,0.01255411,0.001240029,0.00365775,0.01957841,0.002978976,0.2289322,0.03794554,0.01764268,0.4904152],"study_design_scores_gemma":[0.0001310314,0.002080889,0.3939513,0.002428323,0.001477423,0.00281344,0.03914408,0.002385348,0.09306812,0.017474,0.4446869,0.0003591303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113034,0.02911556,0.01085245,0.003935533,0.0004908011,0.0004199091,0.00211079,0.0002708332,0.1415007],"genre_scores_gemma":[0.9190218,0.01198167,0.006848906,0.0007999469,0.00008345297,0.000216194,0.0008967678,0.0000625202,0.06008858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01944523,"threshold_uncertainty_score":0.06505072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03887677417218949,"score_gpt":0.2583829649072633,"score_spread":0.2195061907350738,"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."}}