{"id":"W2275916036","doi":"10.2495/risk040721","title":"Territorial Vulnerability Analysis:The Case Studies","year":2004,"lang":"en","type":"article","venue":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Geography; Environmental planning; Vulnerability assessment; Environmental resource management; Quarter (Canadian coin); Environmental protection; Regional science; Environmental science; Computer science; Archaeology","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":[0.001639367,0.0003443566,0.0003521916,0.002847633,0.002176277,0.001600763,0.0008173189,0.001150239,0.003355325],"category_scores_gemma":[0.003456198,0.0001980097,0.0005888122,0.004836933,0.001875188,0.001103363,0.001895675,0.000630793,0.0002093337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969801,"about_ca_system_score_gemma":0.0009024316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108789,"about_ca_topic_score_gemma":0.0197988,"domain_scores_codex":[0.9972891,0.001900407,0.00006552192,0.0001061712,0.0003556627,0.0002831855],"domain_scores_gemma":[0.9980148,0.001407156,0.0001702745,0.0001635619,0.0001351693,0.000109091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000523295,0.001434606,0.09999166,0.003055042,0.0004421412,0.04863557,0.1234639,0.07396383,0.004050842,0.2727266,0.04732823,0.3243843],"study_design_scores_gemma":[0.0001493484,0.0008346607,0.1076709,0.001868315,0.0003475507,0.02873363,0.2438122,0.04362198,0.00730015,0.07586646,0.4895465,0.0002482971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8691653,0.004591694,0.02958204,0.004029942,0.0001052867,0.0008200695,0.0009407444,0.00007567399,0.09068932],"genre_scores_gemma":[0.9778979,0.003122861,0.01252506,0.0001142502,0.0000389573,0.0003148503,0.0002610925,0.00001781434,0.005707281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108789,"threshold_uncertainty_score":0.02204669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754006609984929,"score_gpt":0.2903046207594194,"score_spread":0.2427645546595701,"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."}}