{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002082551,0.0002400685,0.0004324006,0.0001168321,0.0000640277,0.00002228669,0.00006799684,0.0006746718,0.001308808],"category_scores_gemma":[0.00002967141,0.0002064439,0.0001146507,0.00005352715,0.000089127,0.0000355792,0.00005160702,0.0009314564,0.00007612141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003805046,"about_ca_system_score_gemma":0.0001149879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001431486,"about_ca_topic_score_gemma":0.0000034632,"domain_scores_codex":[0.9986484,0.00003097934,0.0003054255,0.0003925826,0.0003475755,0.0002750356],"domain_scores_gemma":[0.9992615,0.00003205359,0.000141537,0.0004277405,0.00005953735,0.00007763373],"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":[0.00002075472,0.00003002592,0.001038463,0.0001840925,0.00004451554,0.0008952069,0.00008809212,2.452911e-9,0.00001721977,0.00001331009,0.9813067,0.01636162],"study_design_scores_gemma":[0.00045404,0.00008846167,0.0316024,0.0001937669,0.0002002741,0.0002012023,0.00001709325,0.00001702783,0.00006582683,0.0002056343,0.9667476,0.0002066394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03428075,0.0006988453,0.00007735843,0.9472618,0.0004588767,0.001114209,0.0001068987,0.0001701108,0.01583119],"genre_scores_gemma":[0.05533945,0.0001742852,0.000574836,0.8719499,0.01688346,0.0000338885,0.0004774389,0.00008939688,0.05447733],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07531185,"threshold_uncertainty_score":0.9996041,"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."}}