{"id":"W3217793227","doi":"","title":"A Machine Learning Approach for Fire-Fighting Detection in the Power Industry","year":2021,"lang":"en","type":"article","venue":"Pure (Coventry University)","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Firefighting; Power (physics); Computer science; Artificial intelligence; Aeronautics; Engineering; Geography; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001392303,0.00009467365,0.0001053113,0.0000973573,0.0001380533,0.00003023773,0.0001085538,0.0001828359,0.00002821499],"category_scores_gemma":[0.00004042381,0.00009337288,0.00007711171,0.0005861467,0.000008600588,0.00008608126,0.0000203389,0.0005223993,0.000004030671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066415,"about_ca_system_score_gemma":0.00001318697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001910948,"about_ca_topic_score_gemma":0.00004598066,"domain_scores_codex":[0.9994172,0.00007588798,0.0000975522,0.0001455281,0.00008947383,0.0001743871],"domain_scores_gemma":[0.9997485,0.0000506342,0.00002601536,0.0001166702,0.00002668118,0.00003145189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003109254,0.0003981568,0.02307265,0.001172052,0.0004955656,0.0008274592,0.009144577,0.8891318,0.01905337,0.006437005,0.001057223,0.04889917],"study_design_scores_gemma":[0.001211364,0.00004652328,0.002566391,0.00004735101,0.00003351294,0.0001056001,0.006829678,0.6268644,0.002081979,0.00002386261,0.3598698,0.0003195168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7308622,0.0008697617,0.1735132,0.000351544,0.001138903,0.0008082208,0.00003210984,0.0006945506,0.09172952],"genre_scores_gemma":[0.99817,0.0000160229,0.0001201492,0.00002689086,0.00005788884,0.000002386356,0.0000154162,0.00001425152,0.001576993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588125,"threshold_uncertainty_score":0.3807636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051344045621533,"score_gpt":0.1759349922971331,"score_spread":0.1654215518409178,"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."}}