{"id":"W7009734832","doi":"","title":"Enhancing egress drills: Preparation and assessment of evacuee performance","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Strengths and weaknesses; Fire investigation; Majesty; Work (physics)","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":[0.003837179,0.0006330573,0.0003646532,0.001533813,0.0007776831,0.00163227,0.0008272858,0.0009239845,0.003066835],"category_scores_gemma":[0.01987061,0.0003125324,0.0004896895,0.0005467664,0.0006918408,0.00147742,0.002139173,0.0008324499,0.0009807191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599312,"about_ca_system_score_gemma":0.001424721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278008,"about_ca_topic_score_gemma":0.007559344,"domain_scores_codex":[0.9972519,0.001172756,0.0002738923,0.0002421581,0.0007612263,0.000298036],"domain_scores_gemma":[0.9892749,0.003159739,0.00325849,0.0006395488,0.002511283,0.001155896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001850049,0.002075555,0.5879999,0.001197014,0.0002624617,0.0003438325,0.01235883,0.003708518,0.007971867,0.001188425,0.004197611,0.376846],"study_design_scores_gemma":[0.00003028489,0.003597303,0.9585553,0.0005164012,0.0001254575,0.0003055464,0.01880885,0.003751902,0.005875892,0.0007990302,0.007495212,0.0001387573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979139,0.0003900936,0.007628229,0.0003451145,0.0000455143,0.0005439557,0.0005485517,0.0002436278,0.01111589],"genre_scores_gemma":[0.975624,0.0007484159,0.01962544,0.00006782949,0.0000188054,0.000361461,0.0005030875,0.00002216673,0.003028779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003837179,"threshold_uncertainty_score":0.02029324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415797740460711,"score_gpt":0.2973758513112965,"score_spread":0.2832178739066894,"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."}}