{"id":"W2608219917","doi":"10.36487/acg_rep/1704_09_woodward","title":"The spatial and temporal assessment of clustered and time-dependent seismic responses to mining","year":2017,"lang":"en","type":"article","venue":"Deep mining","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Minerals and Energy Research Institute of Western Australia; Australian Centre for Geomechanics; Barrick Gold Corporation","keywords":"Induced seismicity; Seismic hazard; Seismology; Geology; Rock mass classification; Hazard; Earthquake scenario; Hazard analysis; Magnitude (astronomy); Seismic risk; Mining engineering; Geotechnical engineering; Engineering; Reliability engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506976,0.0001188355,0.0001764516,0.00004204668,0.0002051421,0.0001021884,0.0001750971,0.00006176194,0.000005895673],"category_scores_gemma":[0.0001785155,0.00009537466,0.00002294304,0.00002674374,0.00003833447,0.00006772601,0.0002191738,0.0001058655,0.000002194726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437664,"about_ca_system_score_gemma":0.000007405888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000346666,"about_ca_topic_score_gemma":0.00003754749,"domain_scores_codex":[0.9992964,0.00001575194,0.0002062865,0.0001474962,0.0001275698,0.0002064745],"domain_scores_gemma":[0.9993683,0.0001985846,0.00004547335,0.0002717132,0.00001785132,0.0000981226],"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":[0.0001646071,0.0000354828,0.0119367,0.0002920738,0.0002192761,0.00006480356,0.001651871,0.1586934,0.04435161,0.000242002,0.000262159,0.7820861],"study_design_scores_gemma":[0.0004078803,0.0001329419,0.01729008,0.0001082528,0.00002045013,0.00001615472,0.0001900199,0.9781883,0.001115476,0.0000613672,0.002253338,0.0002157146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8874831,0.000161631,0.1110839,0.0003000308,0.0001595801,0.0001356342,0.000005532184,0.00008746779,0.0005831949],"genre_scores_gemma":[0.9940652,0.00001885388,0.00569083,0.00002046965,0.00004237195,0.00001287426,8.826194e-7,0.00001893575,0.0001295511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.819495,"threshold_uncertainty_score":0.3889266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145656873640796,"score_gpt":0.2455000667619374,"score_spread":0.2340434980255295,"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."}}