{"id":"W6957847673","doi":"10.6068/dp14ba8f6133a17","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, 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: 075-001-113.","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; Census; Official statistics; Summary statistics; Infant mortality; Population statistics; Economic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007630109,0.0009099394,0.001833657,0.0003346615,0.0001034002,0.0001393547,0.0008526631,0.0003634479,0.001049868],"category_scores_gemma":[0.00004981969,0.000825216,2.782104e-7,0.0003182823,0.0003578334,0.0003561438,0.0006001659,0.0005525032,0.000003113635],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265548,"about_ca_system_score_gemma":0.007452633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994138,"about_ca_topic_score_gemma":0.9998046,"domain_scores_codex":[0.9945257,0.0005446019,0.001290443,0.001596011,0.001182536,0.0008607454],"domain_scores_gemma":[0.99577,0.0004346187,0.00085785,0.00171406,0.00004128455,0.001182215],"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":[0.001114083,0.0001396206,0.005213676,0.0005596267,0.0002421307,0.0004970283,0.0001033698,0.00001917579,0.0000478844,0.00005266304,0.9919441,0.00006667347],"study_design_scores_gemma":[0.002603436,0.0004336018,0.003100253,0.0002365517,0.0002356024,0.00009573975,0.0004531225,0.0002597035,2.791246e-7,2.799059e-7,0.9917127,0.0008686673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005505507,0.004622303,0.000003859849,0.000001797587,0.0001437381,0.001572374,0.9880671,0.00003323935,0.00005006116],"genre_scores_gemma":[0.001663905,0.001921389,0.0004459754,0.000189619,0.00006613067,0.00002982379,0.9943052,0.0003142002,0.001063754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007026079,"threshold_uncertainty_score":0.9998633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587871015442567,"score_gpt":0.2713286131762508,"score_spread":0.2354499030218251,"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."}}