{"id":"W7133022360","doi":"","title":"&apos;Artificial&apos; Land and &apos;Natural&apos; Disaster: Hazard and Vulnerability on Created Urban Land","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazard; Vulnerability (computing); Threatened species; Wetland; Land use; Land-use planning; Geographic information system; Natural (archaeology); Natural disaster","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":[0.0002888553,0.0001829902,0.00007664864,0.0007739928,0.001821544,0.002766504,0.0002840951,0.000307424,0.005732176],"category_scores_gemma":[0.000628397,0.00009246803,0.0001191171,0.001186778,0.00424029,0.0007073288,0.001308219,0.0004176348,0.0002791146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006517996,"about_ca_system_score_gemma":0.002978453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.112056,"about_ca_topic_score_gemma":0.3022966,"domain_scores_codex":[0.9998395,0.00005067384,0.000002838296,0.00001172051,0.00005136332,0.00004380769],"domain_scores_gemma":[0.999779,0.00008457545,0.00003143496,0.00001403375,0.00003974244,0.00005123326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005066032,0.00009788929,0.08282004,0.0002801286,0.00003370385,0.002177008,0.07163937,0.01157287,0.000964495,0.619429,0.05035794,0.1605769],"study_design_scores_gemma":[0.00001347275,0.0000844324,0.3039888,0.0006631351,0.0000336545,0.0008564894,0.1686456,0.01114812,0.001701957,0.1438309,0.3689835,0.00004994984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5580142,0.003897309,0.005839902,0.01854083,0.000119412,0.00008092056,0.0005984189,0.00003123886,0.4128777],"genre_scores_gemma":[0.9580383,0.004206071,0.001344807,0.0001469945,0.0000380457,0.00002560807,0.0001042069,0.00001197438,0.03608399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112056,"threshold_uncertainty_score":0.2228076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06153447893363419,"score_gpt":0.3953383289601054,"score_spread":0.3338038500264712,"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."}}