{"id":"W4399986240","doi":"10.36548/jismac.2024.2.009","title":"Smart IoT based Accident Monitoring and Rescue System","year":2024,"lang":"en","type":"article","venue":"Journal of ISMAC","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Internet of Things; Computer science; Accident (philosophy); Computer security; Aeronautics; Embedded system; Engineering","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":[0.0004813504,0.000117929,0.0002138375,0.0001871476,0.0000381787,0.0001083403,0.0000972491,0.00006965737,0.000006947578],"category_scores_gemma":[0.0000110818,0.00009723322,0.0001013449,0.000133644,0.000009068456,0.0001112346,0.0000109478,0.0002784516,0.00002064135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584077,"about_ca_system_score_gemma":0.00003973801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000162398,"about_ca_topic_score_gemma":0.000002898061,"domain_scores_codex":[0.999101,0.00003077799,0.0004027057,0.00007763552,0.0002218108,0.0001661026],"domain_scores_gemma":[0.9996316,0.00007161151,0.00003210223,0.00009893193,0.00005477427,0.0001109998],"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":[0.0004954063,0.0001307294,0.09107194,0.01963227,0.002432425,0.009252321,0.005858561,0.403555,0.2437507,0.00178463,0.03282508,0.1892109],"study_design_scores_gemma":[0.002764047,0.0005425847,0.04881176,0.01573394,0.0003921482,0.002440022,0.00224807,0.7160491,0.1268698,0.00005294712,0.08299337,0.001102207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788083,0.01062506,0.002954618,0.0002320057,0.006348269,0.00008739449,0.000002719417,0.0001740743,0.0007675612],"genre_scores_gemma":[0.998049,0.00005683298,0.000349628,0.000006148966,0.001410379,0.000001803855,2.525404e-7,0.0000321658,0.00009378351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124941,"threshold_uncertainty_score":0.3965056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008162575750769884,"score_gpt":0.2224409485668501,"score_spread":0.2142783728160802,"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."}}