{"id":"W4245087801","doi":"10.29122/alami.v2i2.3102","title":"SISTEM INFORMASI BENCANA TANAH LONGSOR (SI-BENAR) BERBASIS WEB UNTUK WILAYAH DESA CILILIN, KECAMATAN CILILIN, KABUPATEN BANDUNG BARAT","year":2018,"lang":"id","type":"article","venue":"Jurnal Alami Jurnal Teknologi Reduksi Risiko Bencana","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities","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":[0.001830518,0.000889637,0.0007390921,0.001376354,0.001320225,0.005529393,0.001063132,0.001583965,0.04110109],"category_scores_gemma":[0.003379283,0.0004728641,0.0005449748,0.001583115,0.0007133322,0.004348549,0.003034855,0.001815355,0.03392277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069581,"about_ca_system_score_gemma":0.002306129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269522,"about_ca_topic_score_gemma":0.006095424,"domain_scores_codex":[0.9980603,0.0003031708,0.0001172573,0.0002636154,0.001046483,0.000209073],"domain_scores_gemma":[0.9954891,0.0007839115,0.0002617794,0.0008494749,0.002117364,0.0004984572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007922949,0.0004221063,0.01284232,0.001658042,0.0001470965,0.001223804,0.002873323,0.002154637,0.04210144,0.03290347,0.2542675,0.6486139],"study_design_scores_gemma":[0.00005892295,0.0002415652,0.01309217,0.0003809397,0.0001245585,0.0008390897,0.00246064,0.009451024,0.02166101,0.008187878,0.943393,0.0001091871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08256204,0.007431177,0.1780382,0.01297547,0.002199506,0.00120529,0.007620635,0.06668432,0.6412833],"genre_scores_gemma":[0.3772578,0.008362905,0.07206466,0.003454861,0.001091837,0.0005830695,0.0164051,0.00531681,0.5154631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04110109,"threshold_uncertainty_score":0.1374969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784092114724679,"score_gpt":0.2650661396347061,"score_spread":0.2472252184874593,"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."}}