{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003197514,0.002246309,0.002310691,0.001549525,0.003466082,0.002376449,0.007909863,0.001434166,0.0003477565],"category_scores_gemma":[0.001605999,0.002078018,0.00109544,0.004544882,0.00202701,0.003064305,0.002630753,0.004505776,0.001422851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555808,"about_ca_system_score_gemma":0.003585706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379496,"about_ca_topic_score_gemma":0.003819002,"domain_scores_codex":[0.9852275,0.001011661,0.003893799,0.003313605,0.002749843,0.003803617],"domain_scores_gemma":[0.9875912,0.0009273995,0.002784479,0.004386381,0.002152065,0.002158491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008970117,0.002720748,0.187063,0.0008852567,0.003574987,0.002287093,0.008643637,0.001453345,0.008552929,0.02508525,0.1519737,0.606863],"study_design_scores_gemma":[0.005414828,0.005906467,0.2176649,0.002120545,0.001602251,0.004313415,0.002827542,0.1421505,0.005531652,0.0009139853,0.6056135,0.005940437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379912,0.005176358,0.006363317,0.01046343,0.004915239,0.001766094,0.0006585728,0.001556974,0.03110879],"genre_scores_gemma":[0.9736409,0.002683618,0.005999198,0.001749578,0.002390817,0.0001554831,0.0004052764,0.0002359627,0.01273921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6009226,"threshold_uncertainty_score":0.9998622,"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."}}