{"id":"W4229021993","doi":"10.5539/mas.v16n2p41","title":"Development of A Smart Rescue Communication System for Drowning Personnel","year":2022,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arduino; Computer science; Computer security; Global Positioning System; Emergency rescue; Search and rescue; Work (physics); Smart phone; Aeronautics; Telecommunications; Medical emergency; Embedded system; Engineering; Artificial intelligence; Robot; 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":[0.0001700932,0.0002487741,0.0002876809,0.0003338337,0.0002831103,0.0003422266,0.0004962391,0.0004815737,0.004618121],"category_scores_gemma":[0.0002904886,0.0001674645,0.000215138,0.000127053,0.0001319926,0.0004673877,0.0004163611,0.0002760194,0.001577603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442325,"about_ca_system_score_gemma":0.0004523275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007916568,"about_ca_topic_score_gemma":0.0005794775,"domain_scores_codex":[0.9998478,0.00001688703,0.00001269736,0.0000330585,0.00007000674,0.00001951668],"domain_scores_gemma":[0.9998554,0.00001675131,0.00001204928,0.00001439479,0.00008417834,0.00001729866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003483776,0.000299788,0.005059176,0.0008069135,0.00005253238,0.001641318,0.000992108,0.008617779,0.5268175,0.004474142,0.008977178,0.4419133],"study_design_scores_gemma":[0.0004242692,0.005221159,0.032554,0.0003717896,0.0002503576,0.006530813,0.0009437798,0.2532405,0.5046507,0.002010005,0.1935956,0.0002070553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477965,0.000692855,0.711555,0.0007407412,0.0005436586,0.001777917,0.0004031425,0.009146214,0.02734398],"genre_scores_gemma":[0.6506578,0.0007444309,0.3113441,0.0005597966,0.000115058,0.001184401,0.0006875169,0.0001645002,0.03454242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004618121,"threshold_uncertainty_score":0.01544911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929490520230775,"score_gpt":0.2162951510203489,"score_spread":0.1970002458180411,"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."}}