{"id":"W652101995","doi":"","title":"PERFORMANCE OF CANADIAN LIGHT TRUCKS AND VANS IN COLLISIONS - FINDINGS FROM A LEVEL IV STUDY","year":2000,"lang":"en","type":"article","venue":"","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doors; Truck; Transport engineering; Glazing; Engineering; Business; Forensic engineering; Automotive engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00121673,0.0005731152,0.0006364632,0.003164855,0.005809096,0.002870352,0.002356235,0.001027605,0.003965917],"category_scores_gemma":[0.004594753,0.000600701,0.0009800942,0.004653073,0.00125389,0.0008886191,0.001968376,0.0009624757,0.0007736178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02539754,"about_ca_system_score_gemma":0.02126482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845977,"about_ca_topic_score_gemma":0.9919642,"domain_scores_codex":[0.9958733,0.000242315,0.0001491878,0.0003337366,0.002035115,0.001366275],"domain_scores_gemma":[0.9955641,0.0002400221,0.0007560514,0.0001381387,0.002648584,0.0006531294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675907,0.0002058904,0.9710452,0.0001015229,0.00007005149,0.0003191132,0.01264892,0.0003859481,0.0003484205,0.0003002945,0.002272346,0.01213471],"study_design_scores_gemma":[0.000004228804,0.000198666,0.9712385,0.00004232272,0.00002879461,0.00007991687,0.02508484,0.0002224448,0.0001596885,0.00003822325,0.002871522,0.00003098804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921191,0.0001959357,0.00008066,0.0001096621,0.000008976301,0.00008367619,0.001910851,0.00001032055,0.005480713],"genre_scores_gemma":[0.9945571,0.0003771356,0.0001341788,0.00008435095,0.000004663411,0.00004138116,0.001500222,0.000006853142,0.003294246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02539754,"threshold_uncertainty_score":0.1842729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151679053379956,"score_gpt":0.2594573892186495,"score_spread":0.2279405986848499,"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."}}