{"id":"W2791558443","doi":"10.1109/ccwc.2018.8301639","title":"Accident and alcohol detection in bluetooth enabled smart helmets for motorbikes","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Accelerometer; Computer science; Bluetooth; Tilt sensor; Real-time computing; Support vector machine; Interface (matter); Computer security; Embedded system; Simulation; Artificial intelligence; Wireless; Operating system; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000213252,0.0004172901,0.000332785,0.0007551634,0.0001624686,0.0002715489,0.0003901192,0.0004111845,0.001329654],"category_scores_gemma":[0.0007069939,0.0001939555,0.0002063495,0.0003190703,0.00009685885,0.0003506824,0.0002840388,0.0001047904,0.0005082539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377106,"about_ca_system_score_gemma":0.0001856243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480913,"about_ca_topic_score_gemma":0.002439962,"domain_scores_codex":[0.999738,0.00005513395,0.00002015671,0.00005112788,0.00008917473,0.0000463593],"domain_scores_gemma":[0.9997844,0.00006104777,0.00003787059,0.0000167554,0.00008342603,0.00001650745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004455412,0.00116648,0.2191477,0.0007324463,0.0004133486,0.003036328,0.0004457369,0.03350433,0.2531991,0.001020958,0.004284691,0.4785936],"study_design_scores_gemma":[0.0002255549,0.003240213,0.1950091,0.0001040572,0.0003912567,0.003385389,0.0005952523,0.637283,0.1528867,0.001078163,0.005697941,0.0001033863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474152,0.0005693323,0.04839284,0.0001388301,0.0000743514,0.00007818831,0.0002472146,0.001120836,0.00196329],"genre_scores_gemma":[0.9909291,0.000132919,0.007097458,0.0000432126,0.00001544459,0.00003322924,0.0001282714,0.000008037289,0.001612318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001480913,"threshold_uncertainty_score":0.004448175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168622935438845,"score_gpt":0.231968966893237,"score_spread":0.2202827375388485,"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."}}