{"id":"W1601855650","doi":"","title":"ORGANIZATIONAL ADAPTATION AND RESILIENCE TO EXTREME WEATHER EVENTS","year":2008,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Extreme weather; Climate change; Context (archaeology); Psychological resilience; Adaptation (eye); Environmental resource management; Resilience (materials science); Business; Environmental planning; Political science; Geography; Environmental science; Ecology; 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":[0.001320518,0.0001350779,0.0001551094,0.001011964,0.0008886784,0.002052301,0.0003884444,0.0006488122,0.002532623],"category_scores_gemma":[0.006584592,0.000117057,0.0001963514,0.0006859311,0.00274424,0.001303249,0.002832895,0.0004820813,0.0001878044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264751,"about_ca_system_score_gemma":0.00107771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501999,"about_ca_topic_score_gemma":0.004065291,"domain_scores_codex":[0.9988979,0.0004898779,0.00005087178,0.0001099596,0.0001420118,0.0003093383],"domain_scores_gemma":[0.9974558,0.0008884351,0.0008260311,0.0002070817,0.0002123978,0.0004103218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003167628,0.0003339075,0.3370623,0.0005382211,0.0002795494,0.001663184,0.0409489,0.04821231,0.004635561,0.3016426,0.007901176,0.2564656],"study_design_scores_gemma":[0.00003458805,0.0003006717,0.6057965,0.0006017298,0.0001047374,0.0006353334,0.05969992,0.01298671,0.001178826,0.255413,0.06314509,0.0001028434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957335,0.002054689,0.01230078,0.006370507,0.00008012206,0.00007766356,0.0001044518,0.00007187563,0.08320637],"genre_scores_gemma":[0.9986349,0.0003774721,0.0004453193,0.00006199475,0.00001082301,0.000008577018,0.00001992255,0.000001889267,0.0004391066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501999,"threshold_uncertainty_score":0.009176433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07569695165059717,"score_gpt":0.2666326117179639,"score_spread":0.1909356600673667,"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."}}