{"id":"W6976351864","doi":"10.6068/dp14ba8dd458750","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: Age, not stated, Unspecified car occupant injured in collision with car, pick-up truck or van, in traffic accident, 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; Summary statistics; Socioeconomic status; Mortality rate; Economic statistics; Demographic analysis","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":[0.001956413,0.002097092,0.002523474,0.006429537,0.003127937,0.003965544,0.004710019,0.001363273,0.09060732],"category_scores_gemma":[0.01592008,0.001588705,0.002140118,0.02959833,0.0005473906,0.001971477,0.002291806,0.003030081,0.04450749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04917215,"about_ca_system_score_gemma":0.1196062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955401,"about_ca_topic_score_gemma":0.9943651,"domain_scores_codex":[0.9972077,0.0002258504,0.0003610222,0.0003671439,0.001153669,0.0006845701],"domain_scores_gemma":[0.976274,0.0008594012,0.000634878,0.0006661356,0.02032837,0.001237255],"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":[0.00002673774,0.000006520038,0.001149875,0.0003072725,0.00002530607,0.000007640623,0.00003246232,0.0001307663,0.000008375928,0.0003641989,0.99567,0.002270967],"study_design_scores_gemma":[0.0002577065,0.00001924094,0.03524841,0.00137159,0.0001150671,0.00004912672,0.0007153262,0.0008691434,0.0001955939,0.0009563864,0.9600804,0.000121951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007637731,0.000067619,0.0000367391,0.00015615,0.00003630516,0.00002392085,0.9984717,0.00007408485,0.001057152],"genre_scores_gemma":[0.001423314,0.0004416535,0.0006231812,0.0002548101,0.00002330612,0.000214596,0.9922683,0.0001227603,0.004628158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09060732,"threshold_uncertainty_score":0.3567706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495630783206725,"score_gpt":0.2776144574689902,"score_spread":0.232658149636923,"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."}}