{"id":"W1977443845","doi":"10.1007/s11069-014-1526-4","title":"Social cohesion and resilience across communities that have experienced a disaster","year":2014,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":223,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Cohesion (chemistry); Community resilience; Resilience (materials science); Community cohesion; Coping (psychology); Group cohesiveness; Natural hazard; Environmental resource management; Psychology; Environmental planning; Geography; Social psychology; Engineering; Economics","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":[0.001263903,0.0002680072,0.0003838985,0.002016004,0.005542172,0.002277853,0.000696036,0.0008874401,0.003117661],"category_scores_gemma":[0.007026186,0.0002485309,0.0003614996,0.001734658,0.004168878,0.001984672,0.005481762,0.0009943092,0.0001533847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698525,"about_ca_system_score_gemma":0.001768358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02574735,"about_ca_topic_score_gemma":0.05795305,"domain_scores_codex":[0.9987,0.0004582258,0.0000415369,0.0001486731,0.0001478094,0.0005035938],"domain_scores_gemma":[0.9964923,0.0006168969,0.0007590726,0.0001682239,0.0003246189,0.001638776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003990209,0.0008104209,0.7875036,0.0001527023,0.0004359794,0.0008213385,0.1722761,0.0004582998,0.001023023,0.005613312,0.001621012,0.02888519],"study_design_scores_gemma":[0.00001600464,0.0001895561,0.8122769,0.00005212306,0.00006018916,0.0001109051,0.1831026,0.0001573005,0.0000644615,0.002132448,0.001818381,0.00001910371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997764,0.0001123132,0.00005086261,0.0003817156,0.00001286992,0.000008082252,0.00002368232,0.000001286658,0.001645179],"genre_scores_gemma":[0.9997125,0.00004963568,0.00002590573,0.00003099754,0.000007634088,0.000007677699,0.00001906464,6.451814e-7,0.0001459918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02574735,"threshold_uncertainty_score":0.05119497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466745155499578,"score_gpt":0.3477992971334776,"score_spread":0.3231318455784818,"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."}}