{"id":"W4417196629","doi":"10.1177/03611981251394965","title":"Using Social Media to Model Community-Based Behavioral Response During Public Health Emergencies: A Case Study of the 2023 Canadian Wildfires","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Recreation; Geocoding; Public health; Census; Ethnic group; Multinomial logistic regression; Psychological intervention; Poison control; Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092118,0.0008278153,0.0003182413,0.001914525,0.0007848604,0.001292655,0.000732465,0.0008112771,0.001194013],"category_scores_gemma":[0.003647262,0.0002097775,0.0006255899,0.0013994,0.0005515706,0.0009599655,0.0006966053,0.0008696881,0.000454977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003436181,"about_ca_system_score_gemma":0.002405548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5958315,"about_ca_topic_score_gemma":0.6483243,"domain_scores_codex":[0.9994649,0.0001808586,0.00002400706,0.0001263726,0.00009056041,0.0001133094],"domain_scores_gemma":[0.9980374,0.001169061,0.000172549,0.0000904221,0.0003869526,0.000143672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00102409,0.001610143,0.8027647,0.0004580202,0.0004213082,0.001778098,0.005612404,0.09735142,0.004815143,0.003999793,0.01206404,0.06810094],"study_design_scores_gemma":[0.00005680768,0.0002614514,0.2182273,0.00007759737,0.0001319343,0.0001508125,0.006703453,0.7636907,0.0010684,0.001547773,0.008004294,0.00007940807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861785,0.0002457794,0.003804189,0.0008507524,0.00005396792,0.0002132537,0.005584604,0.0001307769,0.00293807],"genre_scores_gemma":[0.987248,0.0001874523,0.005878699,0.0001441453,0.00003826203,0.0001424856,0.00487112,0.00001957597,0.001470118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041685,"threshold_uncertainty_score":0.8130974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.301989830539319,"score_gpt":0.452494411358942,"score_spread":0.1505045808196229,"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."}}