{"id":"W2095656261","doi":"10.1504/ijvs.2011.040132","title":"Use of GNSS for vehicle-pedestrian and vehicle-cyclist crash avoidance","year":2011,"lang":"en","type":"article","venue":"International Journal of Vehicle Safety","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Crash; Pedestrian; Global Positioning System; Warning system; Computer science; Transport engineering; Simulation; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003072729,0.0001625874,0.0002878786,0.0001452615,0.00005187907,0.00003024972,0.0003582675,0.0001028901,0.00004843272],"category_scores_gemma":[0.000108344,0.0001491536,0.0001664364,0.00008303143,0.0001008845,0.0004805638,0.00004681215,0.0002432992,0.000004195319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008220793,"about_ca_system_score_gemma":0.00004652044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130268,"about_ca_topic_score_gemma":0.00002787245,"domain_scores_codex":[0.9985588,0.00003114362,0.0007413034,0.0001289599,0.000339563,0.0002002509],"domain_scores_gemma":[0.9988343,0.0002354345,0.0002639414,0.000131503,0.0004032933,0.0001315135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008268671,0.001368126,0.3383325,0.000616897,0.00403253,0.0003574053,0.007366131,0.05252181,0.08609527,0.01966344,0.008735609,0.4726416],"study_design_scores_gemma":[0.005044844,0.0004002231,0.9045539,0.0004100624,0.0001210188,0.0001931835,0.0002357667,0.04339313,0.0160753,0.001054933,0.0280295,0.0004881711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854227,0.000416849,0.01142731,0.0003732863,0.001271489,0.000142609,0.0001318441,0.00005096748,0.0007629817],"genre_scores_gemma":[0.994701,0.0005702522,0.0042114,0.00006980953,0.0003085863,0.000002458449,0.000004881655,0.00003267365,0.00009888197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5662214,"threshold_uncertainty_score":0.6082305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953200650511001,"score_gpt":0.2398332186851635,"score_spread":0.2003012121800535,"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."}}