{"id":"W6957385026","doi":"10.6068/dp14ba8bc1efd48","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: 65 to 69 years, Person on outside of special construction vehicle injured in nontraffic accident, Males | 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; Socioeconomic status; Mortality rate; Economic statistics; Fertility; Summary 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002006993,0.002165815,0.002530091,0.006250197,0.003068007,0.00386857,0.004782055,0.001375544,0.09550732],"category_scores_gemma":[0.01521929,0.001653708,0.002069648,0.02874125,0.0005230495,0.001979232,0.002228144,0.002957408,0.05039771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04629701,"about_ca_system_score_gemma":0.114537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948895,"about_ca_topic_score_gemma":0.9936666,"domain_scores_codex":[0.9973292,0.0002223056,0.0003358923,0.0003569696,0.001110612,0.0006450146],"domain_scores_gemma":[0.975816,0.0008187987,0.0006245212,0.0007030428,0.02079648,0.001241127],"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":[0.00002656517,0.000006407831,0.001097096,0.0002757622,0.00002181477,0.000007244741,0.0000293706,0.000124902,0.0000093499,0.0003251691,0.9958022,0.002274207],"study_design_scores_gemma":[0.0002520313,0.00001772668,0.03178047,0.001223662,0.0000961833,0.00004318575,0.0006357601,0.0007937863,0.0001942274,0.0008890306,0.9639581,0.0001158057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007043784,0.0000584124,0.00003917328,0.0001415923,0.00003475814,0.00002503737,0.9985245,0.00007953295,0.001026618],"genre_scores_gemma":[0.001197405,0.0003780398,0.000670149,0.0002266991,0.00002212539,0.0002194481,0.9924979,0.0001366061,0.004651606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9044927,"threshold_uncertainty_score":0.3359098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813189113090522,"score_gpt":0.2554537373534904,"score_spread":0.2273218462225851,"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."}}