{"id":"W6901435224","doi":"10.6068/dp14ba89bee5448","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XVII: Congenital malformations, deformations and chromosomal abnormalities (Q00 to Q99), age group and sex | Variable: 10 to 14 years, Congenital malformation of musculoskeletal system, unspecified, 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 statistics; Population; Fertility; Demographic statistics; Economic statistics; Birth 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":[0.00198469,0.002185233,0.002547298,0.006583987,0.002928152,0.003944449,0.00473248,0.001424145,0.08750359],"category_scores_gemma":[0.01578047,0.001582319,0.002088532,0.02953099,0.0005410719,0.001841215,0.002241514,0.002921528,0.04283834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04479103,"about_ca_system_score_gemma":0.1133748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942718,"about_ca_topic_score_gemma":0.993098,"domain_scores_codex":[0.9973539,0.0002096726,0.0003435593,0.0003735769,0.001100975,0.0006183053],"domain_scores_gemma":[0.9765071,0.0008980484,0.0006751952,0.0007242613,0.01997072,0.001224722],"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":[0.00002688475,0.000006198087,0.001308631,0.0003056497,0.00002670376,0.00000774976,0.00003008306,0.0001465292,0.000009924504,0.0003466487,0.9955965,0.002188629],"study_design_scores_gemma":[0.0002813019,0.00001699483,0.03421118,0.001359692,0.0001059561,0.00004829681,0.0006229209,0.0008787429,0.0002066005,0.0009562289,0.9611861,0.0001261216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006401199,0.00005354506,0.00003413088,0.000127055,0.00002932738,0.00002017249,0.9988379,0.00006747699,0.0007663213],"genre_scores_gemma":[0.001160315,0.0003553626,0.0006018296,0.0002081082,0.00002016549,0.0002041471,0.9938782,0.000109427,0.003462345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08750359,"threshold_uncertainty_score":0.3249832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493832761540442,"score_gpt":0.2239595343211428,"score_spread":0.2090212067057384,"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."}}