{"id":"W6957871367","doi":"10.6068/dp14ba85c450321","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter IX: Diseases of the circulatory system (I00 to I99), age group and sex | Variable: 45 to 49 years, Diseases of arteries, arterioles and capillaries, 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; Population statistics; Socioeconomic status; Demographic statistics; Official statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003284136,0.0009677997,0.001493824,0.0002476627,0.0002026745,0.0002556232,0.0009695255,0.0003510329,0.0003830812],"category_scores_gemma":[0.00005801486,0.0008654336,4.971524e-7,0.0002704303,0.000681944,0.0003208214,0.000823017,0.0003269953,0.000005753313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023925,"about_ca_system_score_gemma":0.003663589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985706,"about_ca_topic_score_gemma":0.9960482,"domain_scores_codex":[0.9950609,0.0004975036,0.001059277,0.001455283,0.001158227,0.0007688093],"domain_scores_gemma":[0.9949245,0.0004417141,0.0008312166,0.00246583,0.00007036954,0.001266411],"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":[0.000164801,0.00005585652,0.008291655,0.001799233,0.0004789457,0.0002293937,0.00001421071,0.000005225117,0.00001675703,0.0005647652,0.9882742,0.0001049856],"study_design_scores_gemma":[0.0007232999,0.0001192782,0.004034864,0.0002272764,0.001276156,0.0002047755,0.0004146255,0.0002097571,2.815791e-8,5.669642e-7,0.9918472,0.0009421532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001957077,0.02688367,0.000002577895,0.000001251712,0.0002470393,0.001234717,0.9712947,0.00006554238,0.00007479057],"genre_scores_gemma":[0.002251701,0.001308548,0.00008600084,0.0001208007,0.00009438364,0.00003184632,0.9954559,0.0003364882,0.0003143914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02557512,"threshold_uncertainty_score":0.9993796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463689913428662,"score_gpt":0.213422188210969,"score_spread":0.1987852890766824,"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."}}