{"id":"W2096095562","doi":"10.5194/npg-16-333-2009","title":"Recurrent frequency-size distribution of characteristic events","year":2009,"lang":"en","type":"article","venue":"Nonlinear processes in geophysics","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Weibull distribution; Log-normal distribution; Statistics; Statistical physics; Ranging; Mathematics; Frequency distribution; Power law; Geology; Physics; Geodesy","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":[0.0007084166,0.0001933765,0.0002058519,0.001024592,0.0001635307,0.000399965,0.0004787126,0.0003312069,0.002148418],"category_scores_gemma":[0.0052371,0.0001272985,0.0002608956,0.0005571348,0.0004047395,0.0006093479,0.0003175578,0.0002761971,0.0002832707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127308,"about_ca_system_score_gemma":0.0001496757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007397615,"about_ca_topic_score_gemma":0.0004092369,"domain_scores_codex":[0.9996698,0.00004418872,0.00002501444,0.0001163734,0.0001037925,0.0000407978],"domain_scores_gemma":[0.9960144,0.0016712,0.0009506681,0.0004712874,0.000703264,0.0001892157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006856734,0.0002143114,0.4443535,0.0003491133,0.0002163373,0.001993108,0.001254822,0.2954203,0.11685,0.0368951,0.001767094,0.1000006],"study_design_scores_gemma":[0.00002396599,0.0003394872,0.3245375,0.00003640422,0.00007599761,0.001813522,0.0002844003,0.6437152,0.01820875,0.00843521,0.00244609,0.00008355521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613893,0.0001090068,0.03593808,0.00003814544,0.000009486615,0.00002089891,0.00032159,0.0002042295,0.001969335],"genre_scores_gemma":[0.9988238,0.00002706835,0.0006843495,0.000002619953,0.00000422227,0.000007203713,0.0002105025,0.00001154693,0.0002287865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002148418,"threshold_uncertainty_score":0.007187188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217270454679055,"score_gpt":0.23726148005564,"score_spread":0.2250887755088494,"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."}}