{"id":"W605666644","doi":"","title":"Road User Collision Prediction Using Motion Patterns Applied to Surrogate Safety Analysis","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Collision; Computer science; Trajectory; Probabilistic logic; Motion (physics); Process (computing); Discretization; Simulation; Data mining; Artificial intelligence; Mathematics; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007231787,0.0006029495,0.00087008,0.003176522,0.001220612,0.0002312097,0.0007289012,0.0005343115,0.0003380034],"category_scores_gemma":[0.0001665876,0.0006350121,0.0004081503,0.006611428,0.0003049883,0.0007547289,0.00002111146,0.001736441,0.0001840248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584301,"about_ca_system_score_gemma":0.0001634622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346802,"about_ca_topic_score_gemma":0.01367399,"domain_scores_codex":[0.9895176,0.000960409,0.001708124,0.001362202,0.004452052,0.001999668],"domain_scores_gemma":[0.9948823,0.0006612923,0.0001372723,0.0008785353,0.002397933,0.0010427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008206783,0.0002001534,0.08634483,0.0004238298,0.0005198552,0.00003086586,0.006440015,0.8877718,0.004724765,0.001998787,0.0009771128,0.009747245],"study_design_scores_gemma":[0.001625559,0.0002922692,0.9187723,0.0001985712,0.0002641942,3.854504e-7,0.004164683,0.05916785,0.002665896,0.0001091116,0.01205928,0.0006798656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610703,0.00003955192,0.1328304,0.0003147747,0.0003292784,0.001892411,0.001425729,0.0008492841,0.001248283],"genre_scores_gemma":[0.9933115,0.0002442019,0.003269,0.00004467611,0.0003511821,0.000324289,0.00197407,0.0001788884,0.0003021508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324275,"threshold_uncertainty_score":0.9996101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333739205294465,"score_gpt":0.3224629244923699,"score_spread":0.2891255324394252,"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."}}