{"id":"W6957788890","doi":"10.6068/dp14ba903a57a78","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: 15 to 19 years, Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of procedure, 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; Demographic statistics; Economic statistics; Mortality rate; Socioeconomic status; Summary statistics; Official 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":[0.001668978,0.002007369,0.002363671,0.006351152,0.002533288,0.003698928,0.00456106,0.001417627,0.08826435],"category_scores_gemma":[0.01588156,0.001496617,0.001888979,0.02950233,0.0004987467,0.001694047,0.002171427,0.002870473,0.04244189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03941566,"about_ca_system_score_gemma":0.0936948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921787,"about_ca_topic_score_gemma":0.9908826,"domain_scores_codex":[0.997572,0.0001984662,0.0003434886,0.0003432325,0.0009558427,0.0005869346],"domain_scores_gemma":[0.9778475,0.0009641365,0.0007357575,0.0007335659,0.01847279,0.001246238],"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":[0.00002523925,0.000006412252,0.001091709,0.0002804241,0.00002268838,0.000007107768,0.00002508344,0.0001343665,0.000006811293,0.0003399251,0.9962916,0.001768672],"study_design_scores_gemma":[0.0002755748,0.00001653089,0.03054168,0.001398696,0.00009974958,0.00004624352,0.0006006074,0.000809212,0.00016814,0.0009648423,0.9649696,0.0001092045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000546095,0.00004677881,0.00002415195,0.0001013701,0.0000258361,0.00001517147,0.9990032,0.00005163745,0.0006772424],"genre_scores_gemma":[0.001002166,0.0002941856,0.0003884837,0.0001593179,0.0000170358,0.0001454212,0.9951427,0.0000789551,0.002771692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08826435,"threshold_uncertainty_score":0.2952737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357635152416034,"score_gpt":0.2631772063278148,"score_spread":0.2396008548036545,"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."}}