{"id":"W1972322329","doi":"10.1097/bot.0000000000000115","title":"Roads in India","year":2014,"lang":"de","type":"article","venue":"Journal of Orthopaedic Trauma","topic":"Traffic and Road Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; McMaster University Medical Centre; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Pedestrian; New delhi; Data collection; Collision; Psychological intervention; Injury prevention; Descriptive statistics; Poison control; Occupational safety and health; Medical emergency; Environmental health; Transport engineering; Computer security; Statistics; Psychiatry; Pathology","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":[0.0001758056,0.000312744,0.0001898855,0.001232414,0.001406155,0.001595326,0.0009482138,0.0004830247,0.05136808],"category_scores_gemma":[0.0007271504,0.0001580799,0.0002553595,0.002078486,0.0004589188,0.0006320399,0.001508606,0.000613283,0.0112257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009058305,"about_ca_system_score_gemma":0.002879905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170653,"about_ca_topic_score_gemma":0.01971226,"domain_scores_codex":[0.9996215,0.00004912546,0.00003406435,0.00006229965,0.0001071805,0.0001258118],"domain_scores_gemma":[0.9995178,0.00006867199,0.0001091401,0.00004954884,0.000151138,0.0001037053],"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":[0.0002597376,0.0003194544,0.2188867,0.003067176,0.00008057626,0.01559335,0.006028213,0.001023205,0.002944204,0.03669794,0.2771409,0.4379586],"study_design_scores_gemma":[0.00002252667,0.0001768997,0.1950705,0.0005589458,0.00005628987,0.01396716,0.006997932,0.000279709,0.0005159868,0.003358685,0.7789546,0.00004078991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2912806,0.01747298,0.002320742,0.01515976,0.002423864,0.0004111989,0.01919863,0.001630186,0.6501021],"genre_scores_gemma":[0.858904,0.01203381,0.001881488,0.003442245,0.0005762683,0.0002480776,0.008336123,0.0001173714,0.1144607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05136808,"threshold_uncertainty_score":0.1718433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007259340457996045,"score_gpt":0.2117657753171949,"score_spread":0.2045064348591989,"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."}}