{"id":"W6901679280","doi":"10.6068/dp14ba8e758767","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: Age, not stated, Unspecified car occupant injured in collision with car, pick-up truck or van, in traffic 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; Census; Official statistics; Infant mortality; Summary statistics; Population statistics; Economic statistics; Mortality rate; Socioeconomic status","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":[0.002323834,0.002229547,0.002716765,0.006639565,0.002923334,0.004174571,0.004990675,0.001470887,0.09779217],"category_scores_gemma":[0.01924613,0.001639486,0.00232044,0.03132078,0.0005920787,0.002134756,0.002201448,0.003201973,0.04790581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05070192,"about_ca_system_score_gemma":0.1206246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944754,"about_ca_topic_score_gemma":0.993,"domain_scores_codex":[0.9967157,0.0002949846,0.0004300029,0.0004378193,0.001348523,0.0007729213],"domain_scores_gemma":[0.9709302,0.001312449,0.000848276,0.000858161,0.02459292,0.001457982],"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":[0.00003398646,0.000006116918,0.0009864578,0.0003494834,0.00002795154,0.000006404511,0.00002209701,0.0001303146,0.000008227242,0.0003353377,0.996215,0.001878617],"study_design_scores_gemma":[0.0002938652,0.00001931794,0.0281753,0.001542285,0.000135712,0.00004057674,0.0005071805,0.0007965009,0.0001949523,0.0009624747,0.9672136,0.0001181367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005073061,0.0000613278,0.00002607486,0.0001339086,0.0000277153,0.00001677631,0.9988732,0.00005798437,0.0007522966],"genre_scores_gemma":[0.001053807,0.0003607436,0.0004588112,0.0002213366,0.00002058052,0.0001629256,0.9942732,0.0001101574,0.003338303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09779217,"threshold_uncertainty_score":0.3678699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836123267291628,"score_gpt":0.2941724624331707,"score_spread":0.2358112297602545,"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."}}