{"id":"W3011590708","doi":"10.18280/ijsse.100113","title":"Mapping Vertical Urban Growth in Mexico City in a Seismic Risk Context","year":2020,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Seismic risk; Geography; Seismology; Geology; Archaeology","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":[0.0001196743,0.0001653805,0.00009199038,0.001648794,0.0002871269,0.0006435856,0.000126291,0.0002176571,0.001003441],"category_scores_gemma":[0.0004641478,0.00006239732,0.000145791,0.001859065,0.000139902,0.0003186751,0.0005223124,0.0001407395,0.00008824568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007124942,"about_ca_system_score_gemma":0.0003452553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07402403,"about_ca_topic_score_gemma":0.1033951,"domain_scores_codex":[0.9999363,0.00000958045,0.000002870478,0.00001874847,0.00001004294,0.00002249585],"domain_scores_gemma":[0.9998246,0.00003115394,0.00007396066,0.000008744987,0.00004119794,0.00002024243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000903011,0.00004669291,0.9772505,0.00004004283,0.00003186683,0.0002189249,0.001113341,0.003895875,0.0009738847,0.0008257452,0.001145114,0.01436764],"study_design_scores_gemma":[0.000002057306,0.0000162904,0.9903729,0.00001463984,0.00001382124,0.0000400307,0.002608083,0.004751017,0.0001331092,0.00007358379,0.001969488,0.000004892805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968795,0.00007308377,0.0002777448,0.00006003944,0.00000220004,0.000008205733,0.001137666,0.00001310887,0.001548409],"genre_scores_gemma":[0.9977363,0.0001165591,0.0006849278,0.000003408327,0.000003722936,0.00001740531,0.001004775,0.000002760447,0.0004301638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07402403,"threshold_uncertainty_score":0.1471863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006379608670308028,"score_gpt":0.1872697750480043,"score_spread":0.1808901663776962,"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."}}