{"id":"W3187461404","doi":"10.1177/07349041211034456","title":"Nitrogen as an environmentally friendly suppression agent for aircraft cargo fire safety","year":2021,"lang":"en","type":"article","venue":"Journal of Fire Sciences","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020","keywords":"Environmental science; Engineering","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":[0.0006430075,0.0003368778,0.0002640829,0.0003639282,0.0004817434,0.0004195147,0.0004077146,0.0003728116,0.00104082],"category_scores_gemma":[0.0004519816,0.0001401277,0.000272743,0.0001965093,0.0003226108,0.0003852103,0.000430484,0.0003213508,0.0003529534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268109,"about_ca_system_score_gemma":0.0006131325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611103,"about_ca_topic_score_gemma":0.006785479,"domain_scores_codex":[0.9993041,0.00009891,0.00003477257,0.00008103313,0.0004305593,0.00005065061],"domain_scores_gemma":[0.9996628,0.00004827004,0.00009236977,0.00003017259,0.0001427255,0.00002367239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003325131,0.00005898121,0.003483687,0.000233674,0.00001153588,0.0001856653,0.00008107249,0.002331283,0.9743502,0.0005225433,0.0003735541,0.01803534],"study_design_scores_gemma":[0.0000132917,0.0007449191,0.004613726,0.00005093482,0.00002907625,0.0002108266,0.00007691758,0.004814639,0.9805314,0.0001730629,0.008724528,0.00001666409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583307,0.002349478,0.0248313,0.0002703646,0.00008428235,0.0001778902,0.0003751411,0.0002449667,0.01333577],"genre_scores_gemma":[0.978206,0.001204228,0.01490282,0.00007998164,0.00001676414,0.00005989892,0.0003199159,0.0000702827,0.005139994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002611103,"threshold_uncertainty_score":0.005191803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288430441799403,"score_gpt":0.2704555508189442,"score_spread":0.2575712464009502,"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."}}