{"id":"W6976822235","doi":"10.6068/dp14ba8b3769521","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: 85 to 89 years, Car occupant injured in collision with two- or three-wheeled motor vehicle, Females | 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":"Population statistics; Census; Population; Demographic statistics; Summary statistics; Socioeconomic status; Mortality rate; Demographic analysis; Economic 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":[0.002033721,0.002149402,0.002486828,0.006259492,0.00305363,0.003987425,0.004744695,0.001373978,0.09231507],"category_scores_gemma":[0.01606869,0.001626843,0.002081872,0.0295308,0.0005486026,0.002010081,0.002250317,0.003028496,0.04769609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04725641,"about_ca_system_score_gemma":0.1180038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995001,"about_ca_topic_score_gemma":0.993572,"domain_scores_codex":[0.9972445,0.0002258732,0.0003623425,0.0003624918,0.001141669,0.0006632067],"domain_scores_gemma":[0.9742875,0.0008730677,0.0006397056,0.0007102215,0.02221479,0.001274821],"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":[0.00002766568,0.000006662694,0.001126343,0.0003004189,0.00002414103,0.000007613216,0.00003063609,0.0001301281,0.000009431736,0.0003396458,0.9956928,0.002304592],"study_design_scores_gemma":[0.0002591612,0.00001810304,0.03210058,0.00127342,0.0001046696,0.00004526323,0.000627518,0.0007771036,0.000197684,0.0008886048,0.9635902,0.0001176849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006933859,0.00006212963,0.00003749132,0.0001487875,0.00003626762,0.00002434761,0.9985377,0.000077855,0.001006174],"genre_scores_gemma":[0.001258736,0.0004026781,0.0006466153,0.0002375378,0.00002255567,0.0002152547,0.9928178,0.0001330403,0.0042659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09231507,"threshold_uncertainty_score":0.3428708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473892009245728,"score_gpt":0.2701696682279544,"score_spread":0.2354307481354971,"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."}}