{"id":"W2742600586","doi":"10.1016/j.firesaf.2017.06.001","title":"Fire Safety Science: Proceedings of the 12th International Symposium","year":2017,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fire safety; Engineering; Forensic engineering; Poison control; Aeronautics; Medical emergency; Medicine; Civil 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008379658,0.0001644226,0.0002054407,0.00005514469,0.001508852,0.0003070559,0.001451214,0.0000918216,0.0002500876],"category_scores_gemma":[0.0001628787,0.0001190388,0.0001837989,0.0001700108,0.0003018872,0.0007550523,0.0001705319,0.0004886237,0.00002521537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284399,"about_ca_system_score_gemma":0.00008622545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000174556,"about_ca_topic_score_gemma":0.000004946847,"domain_scores_codex":[0.9982905,0.000007817745,0.0005225823,0.0001635055,0.000714607,0.0003009891],"domain_scores_gemma":[0.9988675,0.00001770886,0.0003284042,0.0002917093,0.0003561655,0.0001385547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001192721,0.0003906658,0.1170744,0.0009021912,0.001384428,0.00006408905,0.01615694,0.02563475,0.2682191,0.00973265,0.06137373,0.4978743],"study_design_scores_gemma":[0.002023101,0.0001008233,0.5537481,0.0008898687,0.00004944988,0.001792001,0.0007398744,0.1055792,0.01733164,0.000358611,0.3167676,0.0006197519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7496802,0.0002307898,0.0003518354,0.009076185,0.0221144,0.000453906,0.00008734322,0.0002296765,0.2177757],"genre_scores_gemma":[0.9978484,0.0002710649,0.0000793721,0.00003525772,0.0007261428,0.000002715147,7.155051e-7,0.00002357855,0.001012788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4972546,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007072957785251548,"score_gpt":0.2190202791897978,"score_spread":0.2119473214045462,"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."}}