{"id":"W6976190354","doi":"10.6068/dp14ba892b8a659","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: Total, all ages, Exposure to other and unspecified inanimate mechanical forces, 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":"Census; Population statistics; Population; Demographic statistics; Socioeconomic status; Fertility; Mortality rate; Economic statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0021508,0.002215072,0.002520895,0.006379743,0.003092981,0.003897265,0.004849686,0.001364998,0.09249535],"category_scores_gemma":[0.01626606,0.001622657,0.002089336,0.02900629,0.0005558751,0.001968934,0.002271399,0.003001989,0.04753453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04814031,"about_ca_system_score_gemma":0.11972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994978,"about_ca_topic_score_gemma":0.9938719,"domain_scores_codex":[0.9971464,0.0002405809,0.0003618409,0.0003818838,0.001207797,0.000661416],"domain_scores_gemma":[0.9747122,0.0008808691,0.0006769288,0.0007562807,0.02167332,0.001300385],"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":[0.0000258203,0.000006183153,0.001106889,0.0002818707,0.00002387484,0.000007075005,0.00002957702,0.0001317366,0.000009262496,0.0003420257,0.9957687,0.002267035],"study_design_scores_gemma":[0.0002563429,0.00001727257,0.03079816,0.001256118,0.0001012017,0.00004290409,0.0006299901,0.0008109224,0.0001943302,0.0009390475,0.9648361,0.0001176752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006836859,0.00006077042,0.00004047905,0.0001479685,0.00003586884,0.00002454036,0.998562,0.00007785504,0.0009820776],"genre_scores_gemma":[0.001241992,0.0004070294,0.0007098921,0.0002346888,0.00002318702,0.0002276729,0.9926128,0.0001334251,0.004409241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09249535,"threshold_uncertainty_score":0.3492841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04468255656751965,"score_gpt":0.2682959710970874,"score_spread":0.2236134145295677,"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."}}