{"id":"W2307509179","doi":"10.1002/atr.1372","title":"Accidents involving pedestrians with their backs to traffic or facing traffic: an evaluation of crash characteristics and injuries","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Crash; Pedestrian; Poison control; Transport engineering; Injury prevention; Overtaking; Occupational safety and health; Human factors and ergonomics; Computer security; Forensic engineering; Engineering; Medicine; Computer science; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006942959,0.0003549011,0.0003146389,0.002869608,0.0003470471,0.000582777,0.0002695328,0.0002651034,0.001102254],"category_scores_gemma":[0.001903126,0.0002104418,0.00078505,0.001593842,0.0001726114,0.0005822213,0.0005300101,0.0002630449,0.000239624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287118,"about_ca_system_score_gemma":0.0003282508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229658,"about_ca_topic_score_gemma":0.006878043,"domain_scores_codex":[0.9995885,0.00008886488,0.00009060712,0.00005600433,0.000122542,0.00005356318],"domain_scores_gemma":[0.9982711,0.0002050907,0.0007457573,0.00006319783,0.0004851331,0.0002296668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003970294,0.00001578912,0.9985091,0.00001171564,0.00003053784,0.0000514811,0.00004411377,0.00004836437,0.0000615484,0.000006495238,0.00003479464,0.001146336],"study_design_scores_gemma":[7.602833e-7,0.00007804499,0.9991423,0.000009128487,0.00001927132,0.0001648091,0.0003169999,0.0001524655,0.00004128113,0.000009993951,0.00006214093,0.000002802786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998814,0.0003251491,0.0001076732,0.00001884704,0.000003836392,0.00001376203,0.000345411,0.000003344106,0.0003680887],"genre_scores_gemma":[0.999099,0.0002175795,0.00008676017,0.000007348911,0.000006004582,0.000009488384,0.0004315278,9.635686e-7,0.0001413508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005229658,"threshold_uncertainty_score":0.01039845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678840944162989,"score_gpt":0.2561176734129822,"score_spread":0.2393292639713523,"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."}}