{"id":"W1991500109","doi":"10.1061/40730(144)48","title":"3GR for Road Safety Integration of GIS, GPS, GSM and Remote Sensing, for Road Safety","year":2004,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global Positioning System; GSM; Computer science; Road accident; Transport engineering; Focus (optics); Road traffic safety; Risk analysis (engineering); Road traffic; Telecommunications; Engineering; Business","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":[0.001163957,0.0008673118,0.0004575523,0.001336958,0.0003192161,0.0006072434,0.000671377,0.0007740076,0.005256878],"category_scores_gemma":[0.002261817,0.0003163904,0.0006735756,0.0008965817,0.0002429923,0.0009975624,0.0008550851,0.000654579,0.002534376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101226,"about_ca_system_score_gemma":0.0006598073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004047151,"about_ca_topic_score_gemma":0.00494363,"domain_scores_codex":[0.9992245,0.0003274216,0.00003067189,0.0000888315,0.0002754977,0.00005311519],"domain_scores_gemma":[0.9986565,0.0004329759,0.0000909947,0.0003363985,0.0004436631,0.00003942407],"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":[0.0003313496,0.0001229612,0.006019462,0.0002847051,0.0001665355,0.0003661241,0.0004221641,0.03050409,0.07777407,0.01152607,0.01290261,0.8595799],"study_design_scores_gemma":[0.0001089642,0.0007389344,0.01800868,0.000170333,0.0003839817,0.002006611,0.0004094764,0.6941367,0.1200939,0.01794395,0.1457411,0.0002573392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01148223,0.0002344014,0.9754845,0.0002674845,0.00008558146,0.00007685107,0.0002790028,0.00820327,0.003886662],"genre_scores_gemma":[0.1983778,0.0004453812,0.7956809,0.0002175217,0.00007601118,0.0001328077,0.0006560765,0.0003870482,0.00402653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005256878,"threshold_uncertainty_score":0.01758605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016905887745794,"score_gpt":0.233107992658534,"score_spread":0.222938933781076,"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."}}