{"id":"W1990267527","doi":"10.1136/bmj.331.7522.966-e","title":"Sports utility vehicles and older pedestrians","year":2005,"lang":"en","type":"letter","venue":"BMJ","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Computer science; Pedestrian; Human–computer interaction; Data science; Transport engineering; Engineering","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":[0.0005210355,0.000361234,0.0006489726,0.0006252081,0.001584405,0.0008511893,0.0003511322,0.009154679,0.004123826],"category_scores_gemma":[0.004345315,0.0002837657,0.0004330084,0.0005323239,0.0009042099,0.001371621,0.0005740856,0.004100759,0.001401367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203634,"about_ca_system_score_gemma":0.0006235874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004679859,"about_ca_topic_score_gemma":0.008321589,"domain_scores_codex":[0.9996161,0.0001163854,0.00004035248,0.00004330635,0.00009773207,0.00008600274],"domain_scores_gemma":[0.9992092,0.0003304474,0.00014304,0.00003713282,0.0001193759,0.0001608153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005886434,0.000405998,0.09771109,0.0009845741,0.00009076111,0.2067468,0.002297031,0.0003227321,0.001240261,0.009613318,0.5296044,0.1503943],"study_design_scores_gemma":[0.000283507,0.0007861493,0.1140016,0.003025935,0.0001141383,0.3397563,0.004952674,0.000883886,0.0003103863,0.02236906,0.5134421,0.00007424208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07642417,0.06710451,0.0004373204,0.7808421,0.01294184,0.00008621966,0.0001007215,0.00008089274,0.06198224],"genre_scores_gemma":[0.3852977,0.0495405,0.0005379183,0.4442159,0.0919649,0.0001041799,0.00009085245,0.00002273975,0.02822549],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009154679,"threshold_uncertainty_score":0.01379561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048965644572555,"score_gpt":0.3050022938018471,"score_spread":0.2745126373561215,"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."}}