{"id":"W4388247850","doi":"10.30598/variancevol5iss2page147-158","title":"PENENTUAN PREMI MURNI DI KABUPATEN KEPAHIANG PROVINSI BENGKULU DENGAN MEMPERHITUNGKAN PELUANG KEJADIAN GEMPA BUMI DAN RASIO KERUSAKAN BANGUNAN","year":2023,"lang":"en","type":"article","venue":"VARIANCE Journal of Statistics and Its Applications","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua","funders":"","keywords":"Seismology; Seismic hazard; Forensic engineering; Actuarial science; Geology; Engineering; Business","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":[0.0002615444,0.000368218,0.0002945053,0.0005975913,0.0006880432,0.001724955,0.0002675468,0.0002091761,0.006962335],"category_scores_gemma":[0.0004611263,0.0001705445,0.000188061,0.001097853,0.0002558529,0.0006285989,0.0007431811,0.0004862415,0.001560151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365905,"about_ca_system_score_gemma":0.001827498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083332,"about_ca_topic_score_gemma":0.02172636,"domain_scores_codex":[0.9998299,0.00002253582,0.00001220172,0.00004002083,0.00005650994,0.0000388443],"domain_scores_gemma":[0.9997725,0.00005591669,0.0000535038,0.00001791302,0.00005506926,0.00004506103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005659243,0.0006407865,0.4822033,0.001011847,0.0001720616,0.005135876,0.00775082,0.005187004,0.0152861,0.01756031,0.01267138,0.4518146],"study_design_scores_gemma":[0.00005478124,0.0003561086,0.6690377,0.0003139,0.0002258286,0.004890064,0.01488621,0.01014128,0.01982252,0.004053045,0.2761215,0.00009703796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325864,0.003041026,0.004851616,0.0007602391,0.0001062507,0.0001231251,0.002135376,0.0002126522,0.05618331],"genre_scores_gemma":[0.9674003,0.001673849,0.002896573,0.00008302736,0.00001925508,0.0000867185,0.0008225704,0.00002683904,0.02699088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083332,"threshold_uncertainty_score":0.02329129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864418944053159,"score_gpt":0.2255622652436813,"score_spread":0.2069180758031497,"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."}}