{"id":"W3013210777","doi":"10.1002/fam.2820","title":"Emergency egress for the elderly in care home fire situations","year":2020,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Applied psychology; Psychology; Long-term care; Human factors and ergonomics; Medical emergency; Computer science; Poison control; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001257724,0.0003590331,0.0002503125,0.0006686227,0.0009581051,0.001282988,0.0007536695,0.0004536616,0.003370392],"category_scores_gemma":[0.003632362,0.0002063229,0.0004748579,0.0003396418,0.0004871649,0.0008356889,0.001282348,0.0005261357,0.0003516399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908067,"about_ca_system_score_gemma":0.00205637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131544,"about_ca_topic_score_gemma":0.2068283,"domain_scores_codex":[0.9996758,0.000137423,0.00002313809,0.00003101958,0.00006874301,0.00006392037],"domain_scores_gemma":[0.999226,0.0003566114,0.0001458375,0.00004959525,0.0001512801,0.00007078588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007775945,0.0005231028,0.5776739,0.001392526,0.0002066223,0.001637365,0.0337772,0.1019062,0.003498753,0.006303353,0.01164939,0.2606541],"study_design_scores_gemma":[0.00005154806,0.0009671564,0.6545148,0.001693433,0.0002141838,0.001072624,0.122942,0.1698787,0.004200371,0.01182092,0.03239902,0.0002452928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816355,0.0005320179,0.01041812,0.0009336792,0.00002704398,0.00009333302,0.0006496383,0.0001493867,0.005561406],"genre_scores_gemma":[0.9923459,0.0006068475,0.005085575,0.00005605775,0.000006456242,0.00004048438,0.0003187789,0.00001152413,0.001528266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131544,"threshold_uncertainty_score":0.2249916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725921247957207,"score_gpt":0.2420631275297976,"score_spread":0.2248039150502255,"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."}}