{"id":"W4411397799","doi":"10.18280/ijsse.150416","title":"Robust Firearm Detection in Low-Light Surveillance Conditions Using YOLOv11 with Image Enhancement","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Poison control; Artificial intelligence; Computer vision; Medical emergency; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006398704,0.0009630179,0.0007927638,0.0006530533,0.0002156618,0.0007534713,0.0009900895,0.0006749067,0.001250541],"category_scores_gemma":[0.0009617038,0.0003040794,0.0007556807,0.0002876149,0.0003379912,0.000653742,0.000769146,0.0006683423,0.001090541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004917521,"about_ca_system_score_gemma":0.0007619551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499616,"about_ca_topic_score_gemma":0.007988013,"domain_scores_codex":[0.9996969,0.00003897182,0.00001056383,0.00009810912,0.00009402877,0.00006151615],"domain_scores_gemma":[0.9997608,0.00005311329,0.00003627214,0.00003504045,0.00009805095,0.0000166718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001172526,0.0004297621,0.01431964,0.000601392,0.0002669065,0.0003169721,0.0001478748,0.1646995,0.2269342,0.00224856,0.008078399,0.5807843],"study_design_scores_gemma":[0.00002702607,0.0004671978,0.007470108,0.00004768894,0.00009455604,0.000391869,0.0000478441,0.9145157,0.07078917,0.0007636696,0.005343507,0.00004175947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2373776,0.002530443,0.7446487,0.0003947671,0.0002353731,0.0002869541,0.0008239643,0.007604924,0.006097273],"genre_scores_gemma":[0.7049926,0.001350577,0.2801569,0.0004726255,0.00008710859,0.0001411538,0.002871507,0.0003375294,0.009590092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00499616,"threshold_uncertainty_score":0.009934127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004514622531380587,"score_gpt":0.228186156203783,"score_spread":0.2236715336724024,"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."}}