{"id":"W4407129820","doi":"10.1109/cbmi62980.2024.10858873","title":"Fire Detection for Emergency Responders using X","year":2024,"lang":"en","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","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":[0.0004100984,0.0008435537,0.0005037222,0.0008972829,0.0003690752,0.000616844,0.0006124708,0.0009302673,0.002669714],"category_scores_gemma":[0.001216025,0.0001517291,0.0006642048,0.0003101252,0.0002484448,0.001014267,0.0008472832,0.000758258,0.001897446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507452,"about_ca_system_score_gemma":0.000500672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005771295,"about_ca_topic_score_gemma":0.0116409,"domain_scores_codex":[0.9997455,0.00003938051,0.00001190685,0.00008794991,0.00005899274,0.00005624007],"domain_scores_gemma":[0.9997507,0.00007725952,0.00004411764,0.00003690906,0.00006265964,0.00002839274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004726794,0.001046245,0.1337428,0.001215098,0.00035661,0.001548626,0.0008608085,0.0661222,0.07975875,0.001813006,0.06483694,0.643972],"study_design_scores_gemma":[0.00008975974,0.001129685,0.09581901,0.0002570195,0.0001842949,0.001270511,0.001470859,0.8372437,0.03891681,0.003355117,0.0201705,0.0000928447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869261,0.002005928,0.09297018,0.001499717,0.0007231344,0.0004077582,0.007739606,0.009710661,0.01568203],"genre_scores_gemma":[0.9449484,0.0004976558,0.03927322,0.0004355737,0.0002039514,0.0001178339,0.007309188,0.00008426189,0.007129702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005771295,"threshold_uncertainty_score":0.01147544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297981979969318,"score_gpt":0.2562967221616824,"score_spread":0.2333169023619892,"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."}}