{"id":"W3155402932","doi":"10.33751/teknik.v21i2.3277","title":"ANALISIS DAN PEMBUATAN PETA DAERAH POTENSI LONGSOR DI KABUPATEN BOGOR TAHUN 2019 MENGGUNAKAN METODE PEMBOBOTAN PADA SISTEM INFORMASI GEOGRAFIS (Analysis And Map Of The Potential Longsor Area At Bogor in 2019 Using Weighting Methods On Geographic Information System)","year":2021,"lang":"id","type":"article","venue":"Jurnal Teknik | Majalah Ilmiah Fakultas Teknik UNPAK","topic":"Water and Land Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003162376,0.001468536,0.002242671,0.001493185,0.001346244,0.000939486,0.001433069,0.0006148578,0.0002440159],"category_scores_gemma":[0.0001839392,0.001124701,0.001471609,0.003817373,0.0006389741,0.00212483,0.002470565,0.001231099,0.00007279182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302933,"about_ca_system_score_gemma":0.0001672222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004259517,"about_ca_topic_score_gemma":0.001396962,"domain_scores_codex":[0.9891621,0.001672549,0.003277551,0.001526087,0.002512361,0.001849279],"domain_scores_gemma":[0.9941856,0.0003253835,0.002453409,0.001987089,0.0003380979,0.0007103751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001813061,0.0016212,0.7751094,0.003558155,0.01169194,0.0009162997,0.00793437,0.07319386,0.05885799,0.0005738041,0.002508987,0.0622209],"study_design_scores_gemma":[0.00420601,0.0004356554,0.8614458,0.001160352,0.007997317,0.0003638442,0.008626602,0.07351975,0.02486633,0.00002185583,0.01524999,0.002106486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904158,0.001294202,0.002142609,0.001223371,0.00107873,0.001758846,0.0005239553,0.0001201943,0.001442318],"genre_scores_gemma":[0.9905487,0.0005585071,0.005322857,0.0003643617,0.0001774394,0.00005796208,0.0006457025,0.0001091996,0.002215326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08633637,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008735111345597187,"score_gpt":0.2324536831841527,"score_spread":0.2237185718385555,"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."}}