{"id":"W2044480736","doi":"10.1515/1944-4079.1084","title":"The Importance of Effect Measure Modification When Using Demographic Variables to Predict Evacuation","year":2012,"lang":"en","type":"article","venue":"Risk Hazards & Crisis in Public Policy","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Demography; Marital status; Census; Geography; Psychosocial; Population; Ethnic group; Psychology; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4617408,0.002683319,0.005204961,0.005118642,0.001600442,0.00503186,0.006309675,0.00361399,0.002946514],"category_scores_gemma":[0.5600685,0.001416075,0.01335231,0.005670215,0.007613835,0.004923132,0.003444111,0.004494679,0.0003263384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173954,"about_ca_system_score_gemma":0.002174686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003570626,"about_ca_topic_score_gemma":0.003452231,"domain_scores_codex":[0.4016537,0.5183794,0.03136545,0.02431886,0.0226247,0.001657819],"domain_scores_gemma":[0.1981111,0.7367601,0.01844472,0.03961093,0.006300148,0.0007728733],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01575463,0.0008542355,0.5766825,0.01297427,0.1662851,0.001347327,0.005408324,0.008930133,0.003939106,0.01717044,0.006382994,0.184271],"study_design_scores_gemma":[0.003419054,0.01778224,0.7241114,0.004111668,0.0705222,0.002080385,0.002700092,0.08396397,0.01256031,0.04993053,0.02778377,0.001034353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3251112,0.040014,0.5914705,0.006195821,0.007796892,0.009206864,0.00431995,0.003016212,0.01286843],"genre_scores_gemma":[0.8943067,0.0005875129,0.09951014,0.0008694877,0.0003893013,0.002862202,0.0004820402,0.0003118241,0.0006808552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4617408,"threshold_uncertainty_score":0.6637694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083026793553082,"score_gpt":0.3390965749844346,"score_spread":0.3082663070489037,"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."}}