{"id":"W2806337024","doi":"10.7939/r3fx74606","title":"Epidemiology of Booster Seat Misuse in Alberta","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Booster (rocketry); Epidemiology; Computer security; Computer science; Medicine; 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":[0.0004868344,0.0003514609,0.0003443158,0.002449297,0.00143124,0.001239123,0.001719214,0.0004124829,0.002045907],"category_scores_gemma":[0.001294032,0.0004523142,0.0004269101,0.003972572,0.0008718536,0.0002864018,0.001067723,0.000560484,0.0002481123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01481399,"about_ca_system_score_gemma":0.01535318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867972,"about_ca_topic_score_gemma":0.9876457,"domain_scores_codex":[0.9987004,0.00008038921,0.00006183649,0.0001337885,0.0007347549,0.0002888184],"domain_scores_gemma":[0.9985196,0.00007207885,0.0003586621,0.00005798275,0.0006099977,0.0003817108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004374957,0.00002238212,0.9939252,0.00002760006,0.00001967237,0.0002168945,0.0003864693,0.0001492151,0.0003002785,0.00009576658,0.0006413038,0.004171332],"study_design_scores_gemma":[0.00000211718,0.00002332044,0.9983444,0.00002740639,0.000008273624,0.0001925848,0.0005724709,0.0001913872,0.00004305064,0.00001787415,0.0005699246,0.000007121252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902329,0.001716623,0.0002485417,0.0003277379,0.00002160967,0.00007144531,0.002201587,0.00005911664,0.005120348],"genre_scores_gemma":[0.9948278,0.00181294,0.0002977315,0.0001159638,0.000007974913,0.00001789741,0.001406208,0.000008824209,0.001504669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01481399,"threshold_uncertainty_score":0.1074835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921218023500045,"score_gpt":0.2519697634541617,"score_spread":0.2127575832191613,"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."}}