{"id":"W2138575022","doi":"10.1111/j.1365-246x.2009.04467.x","title":"Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap","year":2010,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercalli intensity scale; Scale (ratio); Intensity (physics); Regression analysis; Regression; Robustness (evolution); Ground motion; Geology; Peak ground acceleration; Data set; Linear regression; Statistics; Seismology; Geodesy; Mathematics; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001440913,0.0007396132,0.0005156116,0.002418213,0.0001919418,0.000633193,0.0004821247,0.0003559559,0.003036519],"category_scores_gemma":[0.004262529,0.0002199328,0.0008475786,0.002235596,0.0002446204,0.0002909853,0.0005556478,0.0004996117,0.001151225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003228,"about_ca_system_score_gemma":0.0004850973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048817,"about_ca_topic_score_gemma":0.01932953,"domain_scores_codex":[0.9994981,0.0002103666,0.00001915333,0.000138635,0.00006474412,0.00006902764],"domain_scores_gemma":[0.9987513,0.0006918968,0.0002005103,0.0001519896,0.0001495345,0.00005473654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005325481,0.0001635652,0.7058129,0.0001385102,0.0004360402,0.0005908345,0.0004415905,0.1158324,0.003590491,0.00168386,0.007001886,0.1637753],"study_design_scores_gemma":[0.00001430794,0.00006912406,0.7810197,0.00001849488,0.00005426614,0.0001631557,0.0001503667,0.2150091,0.0005134408,0.0005615712,0.002394416,0.00003210474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631164,0.000580567,0.02779408,0.0001975956,0.00003595739,0.0000390763,0.003293667,0.001443413,0.003499275],"genre_scores_gemma":[0.9890094,0.0001425717,0.006779009,0.00001391955,0.00002620643,0.00003840604,0.002627503,0.0001343467,0.001228657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03048817,"threshold_uncertainty_score":0.06062138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007968873869151627,"score_gpt":0.2379078565136039,"score_spread":0.2299389826444523,"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."}}