{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007705191,0.00006101821,0.00005108423,0.00006426159,0.00004427601,0.00001981793,0.00002438591,0.00004966959,0.0001612127],"category_scores_gemma":[0.000007811544,0.00005804612,0.00006406436,0.0001720345,0.000002658891,0.00008180583,0.000002652187,0.00004533834,0.00005092043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005693072,"about_ca_system_score_gemma":0.000004558552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002138194,"about_ca_topic_score_gemma":0.00004252856,"domain_scores_codex":[0.9996378,0.000005659411,0.0001225611,0.00008592767,0.0000472713,0.0001007794],"domain_scores_gemma":[0.9998797,0.00001463908,0.000003489723,0.0000655941,0.00001196722,0.00002466733],"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":[0.00005093368,0.00000932162,0.00002256674,0.001585811,0.0002230955,0.000008524335,0.001104352,0.06456831,0.5962225,0.001059042,0.02161305,0.3135325],"study_design_scores_gemma":[0.00003996042,0.00001324309,0.00002231399,0.00001380038,0.000006027057,0.000009923799,0.00008112072,0.8983177,0.01133319,0.00008125568,0.09000306,0.00007842525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2071096,0.001155879,0.7737688,0.00006207887,0.009314157,0.0002877561,0.000006671078,0.002077882,0.006217201],"genre_scores_gemma":[0.9969791,0.00002263558,0.0002673904,0.000004735875,0.000179224,0.00001659778,0.000001010714,0.00002577585,0.002503534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8337494,"threshold_uncertainty_score":0.2367052,"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."}}