{"id":"W2047642194","doi":"10.1007/s10694-008-0067-3","title":"Findings of the International Road Tunnel Fire Detection Research Project","year":2008,"lang":"en","type":"article","venue":"Fire Technology","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"Ministère des Transports","keywords":"Fire detection; Engineering; Firefighting; Fire safety; Fire test; Transport engineering; Strengths and weaknesses; Civil engineering; Architectural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001148611,0.0000573311,0.00006919245,0.0001755112,0.00008899433,0.000004517529,0.000340062,0.0001665491,0.00003164479],"category_scores_gemma":[0.0001444219,0.00004765435,0.00003197065,0.0006059831,0.0001430112,0.00004218684,0.00008658846,0.0003241863,0.00003039483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008941659,"about_ca_system_score_gemma":0.0000318032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121527,"about_ca_topic_score_gemma":0.00007327995,"domain_scores_codex":[0.9994412,0.00001151759,0.0001301996,0.00009471795,0.0001841409,0.0001382422],"domain_scores_gemma":[0.9996564,0.00001993296,0.00001729181,0.0002106677,0.00008726268,0.000008417279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007591361,0.0002936379,0.06858324,0.0002264126,0.0003402408,0.0000457372,0.003517715,0.006519231,0.4541195,0.01136304,0.05430922,0.4006062],"study_design_scores_gemma":[0.0009002133,0.0001760018,0.099558,0.0001023243,0.00001246022,0.0003099744,0.0006653568,0.6339396,0.2123091,0.003700818,0.04794911,0.0003770776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965181,0.00007587715,0.0001811351,0.0005465738,0.0002816346,0.0001288195,0.00000532669,0.0002969963,0.001965576],"genre_scores_gemma":[0.998919,0.00008745996,0.0001296227,0.000009808135,0.00002465094,0.00002424478,0.000002496388,0.0000121927,0.0007904861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6274204,"threshold_uncertainty_score":0.1943288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036542952529884,"score_gpt":0.2878911698407668,"score_spread":0.2513482173108828,"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."}}