{"id":"W4405311192","doi":"10.1016/j.cageo.2024.105817","title":"ETASbootstrap 0.2.0: A flexible R package for computing bootstrap confidence intervals for parameters in the space–time epidemic-type aftershock sequence model, with four case studies","year":2024,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aftershock; Sequence (biology); Confidence interval; R package; Computer science; Interval (graph theory); Space (punctuation); Statistics; Data mining; Programming language; Mathematics; Seismology; Geology; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008734155,0.002565819,0.002043688,0.004293269,0.0006232116,0.00272735,0.003385433,0.001434431,0.0305552],"category_scores_gemma":[0.06671259,0.001321272,0.002582811,0.003831329,0.0007351096,0.002276142,0.002585508,0.002765646,0.01376698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005829937,"about_ca_system_score_gemma":0.001921231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004958458,"about_ca_topic_score_gemma":0.004037566,"domain_scores_codex":[0.9963845,0.001759255,0.0003602556,0.0005899248,0.00071206,0.0001939506],"domain_scores_gemma":[0.9633565,0.02947802,0.002357883,0.002372049,0.002093606,0.0003419977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001510861,0.0003750405,0.04457046,0.00435364,0.00211074,0.002317909,0.001748141,0.1793669,0.007130351,0.0362144,0.4180079,0.3022935],"study_design_scores_gemma":[0.0006148881,0.0003547042,0.02289094,0.0007659849,0.0005688708,0.002062262,0.0004319054,0.6551602,0.01252735,0.05563678,0.2484938,0.0004924035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02472762,0.0008369107,0.8247741,0.00039161,0.0002716525,0.0004841947,0.05245896,0.0914409,0.004614073],"genre_scores_gemma":[0.1445694,0.0007107958,0.7283515,0.0004025279,0.0001620069,0.003379812,0.05986248,0.05868572,0.003875772],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0305552,"threshold_uncertainty_score":0.1022173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1835238911152382,"score_gpt":0.4040004433317287,"score_spread":0.2204765522164905,"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."}}