{"id":"W2338352533","doi":"10.1177/0042098015604987","title":"Book review: Cities, Disaster Risk and Adaptation","year":2015,"lang":"en","type":"article","venue":"Urban Studies","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Adaptation (eye); Economic geography; Geography; Regional science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001635342,0.001525682,0.002394117,0.006380777,0.0009481578,0.004440853,0.001735067,0.004719603,0.03717915],"category_scores_gemma":[0.008172713,0.0007239256,0.001037632,0.01107863,0.001507314,0.003726176,0.002030914,0.004242159,0.01477994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003605622,"about_ca_system_score_gemma":0.00657573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506092,"about_ca_topic_score_gemma":0.04166675,"domain_scores_codex":[0.9989323,0.0002611461,0.0001125233,0.0001300869,0.0004761591,0.00008768189],"domain_scores_gemma":[0.9954298,0.002217045,0.0003557723,0.0001035122,0.001490291,0.0004035654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008995371,0.000006764377,0.00003366652,0.001128945,0.00001522205,0.00001801857,0.0000129641,0.00003037446,0.0000170403,0.0007572526,0.976928,0.02104283],"study_design_scores_gemma":[0.00002160858,0.00001156807,0.000277267,0.002366481,0.00003117773,0.0001100906,0.0000523364,0.00001654741,0.00001064695,0.001134398,0.9959591,0.000008798418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004903788,0.8824481,0.0001149081,0.03441075,0.07617585,0.00001991032,0.0002133835,0.00002037121,0.006547754],"genre_scores_gemma":[0.0008642592,0.8547988,0.0002366395,0.03311481,0.07880516,0.00006417673,0.000269743,0.00004288109,0.03180353],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03717915,"threshold_uncertainty_score":0.1243766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06707600886741948,"score_gpt":0.3246926525520843,"score_spread":0.2576166436846648,"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."}}