{"id":"W4404970970","doi":"10.3390/electronics13234768","title":"Gas Leakage Detection Using Tiny Machine Learning","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Leakage (economics); Computer science; Artificial intelligence; Materials science","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":[0.000160918,0.0001199556,0.0001019807,0.0001108883,0.00009425791,0.00007213981,0.00004996124,0.00008011501,0.00005843487],"category_scores_gemma":[0.00001215087,0.0001257482,0.00006555496,0.0003001324,0.000006953163,0.0000994121,0.000008625289,0.0005027976,0.0001647452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866276,"about_ca_system_score_gemma":0.00002079339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589534,"about_ca_topic_score_gemma":0.0001375918,"domain_scores_codex":[0.9992886,0.00002851487,0.0001501045,0.0001398791,0.0001081574,0.0002847717],"domain_scores_gemma":[0.9998232,0.00002329399,0.00001055019,0.00009311212,0.00001151407,0.00003839802],"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":[0.00001595723,0.00001024053,0.00007510351,0.000377322,0.0001714682,0.00003890098,0.0006982902,0.1821682,0.5112163,0.0005400464,0.0002298725,0.3044582],"study_design_scores_gemma":[0.00004930057,0.00003529629,0.000009859968,0.0000208918,0.000009458409,0.00008285615,0.00001300462,0.6882544,0.02135586,0.0000395404,0.2900253,0.0001042691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8002541,0.06505661,0.1196395,0.00007057731,0.003066182,0.000233645,0.000003931762,0.004533916,0.007141491],"genre_scores_gemma":[0.9983477,0.0005508184,0.0000601461,0.000008246967,0.0002218128,0.000005263308,0.000004514245,0.00005908491,0.0007424413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5060862,"threshold_uncertainty_score":0.5127861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007215238789588896,"score_gpt":0.2057398482257926,"score_spread":0.1985246094362036,"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."}}