{"id":"W6901462422","doi":"10.6068/dp14ba7cae7ea76","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XIII: Diseases of the musculoskeletal system and connective tissue (M00 to M99), age group and sex | Variable: 1 to 4 years, Acquired deformity of chest and rib, Both sexes | 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; Population statistics; Demographic statistics; Socioeconomic status; Economic statistics; Fertility; Summary statistics; Birth 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":[0.001995832,0.002167667,0.002529738,0.006249025,0.003055318,0.003970872,0.004776213,0.001442084,0.09433526],"category_scores_gemma":[0.01606052,0.001646522,0.002141104,0.02800309,0.0005303604,0.001922385,0.00228423,0.003009243,0.04535145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04580446,"about_ca_system_score_gemma":0.1128207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944595,"about_ca_topic_score_gemma":0.9931421,"domain_scores_codex":[0.9972778,0.0002145871,0.0003619439,0.000371199,0.001147486,0.000627051],"domain_scores_gemma":[0.9762853,0.000892222,0.0006385511,0.0006830666,0.02028641,0.001214412],"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":[0.00002621941,0.000006274609,0.001210733,0.0003079141,0.00002525995,0.000007885202,0.00002967891,0.0001373024,0.000009558781,0.0003580285,0.9955789,0.002302317],"study_design_scores_gemma":[0.0002883116,0.00001786186,0.03419696,0.001418534,0.000106675,0.00005021077,0.0006136498,0.0008771998,0.0002022358,0.001015769,0.9610852,0.0001274641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006459138,0.00005880372,0.00003706208,0.0001436734,0.00003294704,0.00002222553,0.9986972,0.00006992445,0.0008736402],"genre_scores_gemma":[0.001223084,0.0003983833,0.0006590201,0.0002449185,0.00002255601,0.0002221363,0.9930942,0.0001258032,0.004009919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09433526,"threshold_uncertainty_score":0.3323362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363005395715985,"score_gpt":0.232542246834425,"score_spread":0.2189121928772652,"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."}}