{"id":"W4408860070","doi":"10.18280/ijsse.150217","title":"Monte Carlo Aggregating Method for Radon Precursor-Based Earthquake Parameter Prediction in Java, Indonesia","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Gadjah Mada","keywords":"Monte Carlo method; Radon; Java; Computer science; Seismology; Statistics; Geology; Mathematics; Physics; Operating system; Nuclear physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006321574,0.0005922181,0.0007853314,0.0008657117,0.0002956894,0.0005572553,0.0009352102,0.0004726886,0.0006733593],"category_scores_gemma":[0.002031812,0.0003314517,0.0006206447,0.0007342156,0.0001751006,0.0006014311,0.0003945869,0.0006220366,0.000263777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004948843,"about_ca_system_score_gemma":0.001044867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222737,"about_ca_topic_score_gemma":0.02411937,"domain_scores_codex":[0.9997286,0.00005123405,0.0000279361,0.0001121312,0.00005122472,0.0000289047],"domain_scores_gemma":[0.9995308,0.0002353656,0.00005569851,0.00005702964,0.00009781108,0.0000233568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002516709,0.0001695005,0.03597816,0.0000908658,0.0001462958,0.0002522669,0.00007336806,0.8048131,0.003224111,0.001608301,0.00289217,0.1505001],"study_design_scores_gemma":[0.000004982973,0.000009455408,0.001927011,0.000003484194,0.000009839516,0.00002164734,0.000007732404,0.9968258,0.0004701034,0.0004151531,0.0003001851,0.000004752664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.357919,0.001432833,0.6311489,0.0004970509,0.0001270586,0.0001178043,0.002432958,0.002818352,0.00350605],"genre_scores_gemma":[0.8826453,0.0005033271,0.1113469,0.0001122748,0.00007552112,0.000112207,0.003533954,0.00007654387,0.001593844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02222737,"threshold_uncertainty_score":0.04419601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007299862991825359,"score_gpt":0.2246810452350011,"score_spread":0.2173811822431757,"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."}}