{"id":"W7151315608","doi":"10.1109/icosec67334.2025.11459658","title":"Design of Camouflage Military Robot using Raspberry Pi and Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Camouflage; Robot; Raspberry pi; Robotics; Machine vision; Drone","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001165535,0.0005299394,0.0008949191,0.0005977816,0.0002354194,0.00003712811,0.0002275025,0.0003292857,0.0002735885],"category_scores_gemma":[0.0001566144,0.0005740059,0.0001381151,0.0007364503,0.0001431569,0.0002492893,0.0001882236,0.0006408105,0.0000158299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340509,"about_ca_system_score_gemma":0.0001639153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00300965,"about_ca_topic_score_gemma":0.0001341483,"domain_scores_codex":[0.9970266,0.0004783115,0.001039578,0.0005288902,0.0002835502,0.0006430451],"domain_scores_gemma":[0.9986681,0.0005041601,0.0001028308,0.0004725762,0.0001042348,0.0001480767],"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":[0.00007730646,0.00004471205,0.005569896,0.002185132,0.0003192255,0.00002612647,0.0007996777,0.8582121,0.1303136,0.0001529481,0.0001710176,0.002128236],"study_design_scores_gemma":[0.001133653,0.0001165077,0.001275151,0.0008876447,0.000193387,0.00001915395,0.0005475786,0.9738068,0.02115584,0.00003526132,0.0003506624,0.0004783741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1627442,0.0320731,0.7987416,0.00005285496,0.0014308,0.0008739202,0.00001162278,0.000229061,0.003842863],"genre_scores_gemma":[0.9784252,0.0003539941,0.01810019,0.00003000316,0.00009811423,0.000008874854,0.000007798151,0.0000868474,0.002888974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.815681,"threshold_uncertainty_score":0.9996712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035685153568422,"score_gpt":0.22461709774681,"score_spread":0.2042602462111258,"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."}}