{"id":"W6957445534","doi":"10.6068/dp14ba8d344de99","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Health - Life Expectancy 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, Occupant of three-wheeled motor vehicle injured in noncollision transport accident, Females | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-113.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Health statistics; Official statistics; Census; Economic statistics; Infant mortality; Population statistics; Summary statistics; Demographic statistics; Mortality rate","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":[0.002359938,0.002262318,0.00270948,0.006536639,0.003006186,0.004218083,0.005029747,0.001475227,0.09657558],"category_scores_gemma":[0.01853125,0.001692529,0.002307038,0.03050662,0.000588101,0.002151337,0.002186076,0.003173297,0.05042615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04904461,"about_ca_system_score_gemma":0.1186733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940818,"about_ca_topic_score_gemma":0.9924648,"domain_scores_codex":[0.9967027,0.0002843053,0.0004243946,0.0004487985,0.001364273,0.0007754795],"domain_scores_gemma":[0.9715839,0.001238919,0.0008206765,0.0008926997,0.02400867,0.001455066],"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":[0.00003268278,0.000005810874,0.0009355317,0.0003225223,0.00002551309,0.000006488101,0.00002044809,0.0001197682,0.00000903835,0.0003231904,0.9963093,0.001889666],"study_design_scores_gemma":[0.000279279,0.00001789167,0.02659816,0.001427643,0.0001220463,0.00003988075,0.0004637199,0.0007408177,0.0002032804,0.0009596516,0.96903,0.0001176899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004701195,0.00005756197,0.00002808623,0.0001293835,0.00002856912,0.00001647444,0.9988937,0.00006016437,0.0007390057],"genre_scores_gemma":[0.0009577941,0.0003400137,0.0004941957,0.0002116543,0.00002026986,0.0001551675,0.99441,0.0001175172,0.003293444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09657558,"threshold_uncertainty_score":0.3558452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485243485980723,"score_gpt":0.2879614309640321,"score_spread":0.2394370823659598,"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."}}