{"id":"W4320881319","doi":"10.20944/preprints202302.0263.v1","title":"A Predictive Model of Community Disaster Resilience based on Social Identity Influences","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development","funders":"","keywords":"Community resilience; Resilience (materials science); Psychological resilience; Hazard; Identity (music); Sociology; Public relations; Political science; Psychology; Social psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003251443,0.000339414,0.0005048773,0.0002924895,0.001062483,0.00009794187,0.002853251,0.000383716,0.0001798445],"category_scores_gemma":[0.001034209,0.0003458594,0.0003040937,0.0005086829,0.001760946,0.0005011932,0.003292153,0.001272762,0.0003538254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210342,"about_ca_system_score_gemma":0.000477382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004748608,"about_ca_topic_score_gemma":0.002476576,"domain_scores_codex":[0.9952751,0.001316297,0.000612446,0.0006670558,0.00159644,0.0005326734],"domain_scores_gemma":[0.9975046,0.0003498133,0.0005841409,0.001149931,0.0002661404,0.0001453773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033768,0.001043665,0.6317735,0.0007851262,0.0001748321,0.00000615526,0.1520377,0.1993118,0.0006939484,0.01242328,0.0006836684,0.000728615],"study_design_scores_gemma":[0.0004005629,0.00004979214,0.9070761,0.0005422879,0.000134439,3.716388e-8,0.02438327,0.01777279,0.0004284439,0.04840485,0.0002041401,0.0006033425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274154,0.000006500993,0.00140013,0.0008801418,0.0005683693,0.0008505798,0.00008819527,0.0002681421,0.06852248],"genre_scores_gemma":[0.9952431,0.00004780574,0.0000622647,0.0001954702,0.0001412925,0.0001579375,0.00001975939,0.00002845778,0.004103939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2753026,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.268992467127424,"score_gpt":0.4266328322655868,"score_spread":0.1576403651381628,"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."}}