{"id":"W6901476883","doi":"10.6068/dp14ba8ef66c870","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XX: External causes of morbidity and mortality (V01 to Y89), age group and sex | Variable: 20 to 24 years, Driver of pick-up truck or van injured in collision with other and unspecified motor vehicles in traffic accident, Both sexes | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-159.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population statistics; Population; Demographic statistics; Summary statistics; Socioeconomic status; Mortality rate; Economic statistics; Official statistics","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":[0.001890882,0.002165541,0.002567907,0.006352994,0.003070517,0.003975448,0.004749305,0.001391483,0.09237189],"category_scores_gemma":[0.0156334,0.001636662,0.00214947,0.02929246,0.0005437355,0.001975602,0.002318241,0.003021888,0.0462019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04703399,"about_ca_system_score_gemma":0.1138467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952277,"about_ca_topic_score_gemma":0.9940652,"domain_scores_codex":[0.9973251,0.0002181811,0.0003572518,0.0003594201,0.001083695,0.0006563558],"domain_scores_gemma":[0.9774517,0.0008361659,0.00060874,0.0006551369,0.01924161,0.001206611],"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":[0.00002701759,0.000006599718,0.001123031,0.0003211609,0.00002552927,0.000007642369,0.0000319902,0.0001303339,0.000008605817,0.0003571408,0.9956782,0.002282659],"study_design_scores_gemma":[0.0002769859,0.0000189737,0.03401938,0.001355454,0.0001170805,0.00004934308,0.0006706737,0.000867603,0.0001967795,0.0009752183,0.9613292,0.0001233603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007184507,0.00006658583,0.00003632005,0.0001409512,0.00003466172,0.00002397705,0.9985343,0.00007502049,0.00101633],"genre_scores_gemma":[0.001325984,0.0004171591,0.0006149788,0.0002397004,0.00002213393,0.000215447,0.9928579,0.000123325,0.004183289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09237189,"threshold_uncertainty_score":0.341257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278095721973253,"score_gpt":0.2561437536970877,"score_spread":0.2283341814997624,"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."}}